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CN112770096B - Image processing method, device, terminal equipment and computer readable storage medium - Google Patents

Image processing method, device, terminal equipment and computer readable storage medium Download PDF

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Publication number
CN112770096B
CN112770096B CN202011643714.6A CN202011643714A CN112770096B CN 112770096 B CN112770096 B CN 112770096B CN 202011643714 A CN202011643714 A CN 202011643714A CN 112770096 B CN112770096 B CN 112770096B
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China
Prior art keywords
image
preset
row
led lamps
column
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CN112770096A (en
Inventor
杨剑锋
陈林
夏大学
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Shenzhen TCL Digital Technology Co Ltd
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Shenzhen TCL Digital Technology Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00—Details of colour television systems
    • H04N9/64—Circuits for processing colour signals
    • H04N9/646—Circuits for processing colour signals for image enhancement, e.g. vertical detail restoration, cross-colour elimination, contour correction, chrominance trapping filters
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
    • G09G3/22—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources
    • G09G3/30—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources using electroluminescent panels
    • G09G3/32—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources using electroluminescent panels semiconductive, e.g. using light-emitting diodes [LED]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00—Diagnosis, testing or measuring for television systems or their details
    • H04N17/004—Diagnosis, testing or measuring for television systems or their details for digital television systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00—Details of colour television systems
    • H04N9/77—Circuits for processing the brightness signal and the chrominance signal relative to each other, e.g. adjusting the phase of the brightness signal relative to the colour signal, correcting differential gain or differential phase
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2320/00—Control of display operating conditions
    • G09G2320/02—Improving the quality of display appearance
    • G09G2320/0233—Improving the luminance or brightness uniformity across the screen

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Control Of Indicators Other Than Cathode Ray Tubes (AREA)

Abstract

The invention discloses an image processing method, which comprises the following steps: when a target display outputs a test picture, acquiring a target image of the target display; determining an image to be compensated of a preset LED lamp and a reference image of a reference LED lamp in the target image; obtaining a selected compensation value based on the pixel value of the image to be compensated and the pixel value of the reference image; and carrying out pixel processing on the image to be compensated in the target image by using the selected compensation value to obtain a result image. The invention also discloses an image processing device, a terminal device and a computer readable storage medium. By using the image processing method provided by the invention, the information accuracy of the obtained result image is higher, and the brightness uniformity of the corrected LED display is better.

Description

Image processing method, device, terminal equipment and computer readable storage medium
Technical Field
The present invention relates to the field of image processing technologies, and in particular, to an image processing method, an image processing device, a terminal device, and a computer readable storage medium.
Background
The LED display is formed by splicing a plurality of boxes. The LED lamps in different boxes of the same LED display have different brightness and color gamut space differences due to different production batches, the LED lamps in the same box of the same LED display have different luminous characteristics, visual angle characteristics and arrangement density, and in addition, different boxes are spliced into one LED display manually by technicians, so that the splicing edge between the boxes is different from the interval of the LED lamps in the boxes, and the uniformity of the brightness of the LED display is poor due to various reasons.
The LED display needs to be corrected for uniformity of luminance and chromaticity before it is put into use. In the related art, a target image of an LED display is shot by a camera, and an LED lamp preset in the LED display is corrected based on the target image of the LED display, so as to obtain a corrected LED display.
However, the accuracy of the information in the target image is low, resulting in poor uniformity of brightness and color of the LED display after correction.
Disclosure of Invention
The invention mainly aims to provide an image processing method, an image processing device, terminal equipment and a computer readable storage medium, and aims to solve the technical problem that the uniformity of brightness and color of an LED display after correction is poor due to low accuracy of information in an existing target image.
In order to achieve the above object, the present invention proposes an image processing method comprising the steps of:
when a target display outputs a test picture, acquiring a target image of the target display;
determining an image to be compensated of a preset LED lamp and a reference image of a reference LED lamp in the target image;
obtaining a selected compensation value based on the pixel value of the image to be compensated and the pixel value of the reference image;
and carrying out pixel processing on the image to be compensated in the target image by using the selected compensation value to obtain a result image.
Optionally, before the step of obtaining the selected compensation value based on the pixel value of the image to be compensated and the pixel value of the reference image, the method further includes:
carrying out pixel processing on the boundary area with uneven pixel values in the image to be compensated so as to obtain a preprocessed image with uniform pixel values of the boundary area;
the step of obtaining a selected compensation value based on the pixel value of the image to be compensated and the pixel value of the reference image comprises:
obtaining a selected compensation value based on pixel values of the pre-processed image and pixel values of the reference image;
the step of performing pixel processing on the image to be compensated in the target image by using the selected compensation value to obtain a result image comprises the following steps:
And carrying out pixel processing on the preprocessed image corresponding to the target image by using the selected compensation value to obtain a result image.
Optionally, the target image includes a plurality of target images corresponding to the target display outputting different brightness test frames, where each target image in the plurality of target images corresponds to a pre-processing image and a reference image; the step of obtaining a selected compensation value based on pixel values of the pre-processed image and pixel values of the reference image comprises:
acquiring a preliminary compensation value of each target image based on the preprocessed image pixel value corresponding to each target image and the reference image pixel value corresponding to each target image;
based on the initial selection compensation value of each target image, a plurality of initial selection compensation values of the target images are obtained;
obtaining the selected compensation value based on the plurality of preliminary selected compensation values;
the step of performing pixel processing on the image to be compensated in the target image by using the selected compensation value to obtain a result image comprises the following steps:
and carrying out pixel processing on the image to be compensated corresponding to each target image by using the selected compensation value to obtain a result image.
Optionally, the step of obtaining the selected compensation value based on the plurality of initially selected compensation values includes:
the selected compensation value is obtained based on the plurality of initially selected compensation values using a least squares method.
Optionally, the step of performing pixel processing on the image to be compensated corresponding to each target image by using the selected compensation value to obtain a result image includes:
performing compensation processing on pixel values of the preprocessed images corresponding to each target image by using the selected compensation values to obtain output images corresponding to each target image;
and obtaining the result image based on the output image corresponding to each target image.
Optionally, the step of performing compensation processing on the pixel value of the preprocessed image corresponding to each target image by using the selected compensation value, and obtaining the output image corresponding to each target image includes:
using the selected compensation value to carry out compensation processing on the pixel value of the preprocessed image corresponding to each target image through a formula I, and obtaining an output image corresponding to each target image;
the first formula is:
row′＝u×row
wherein row is the pixel value of the preprocessed image corresponding to each target image, row' is the pixel value of the output image corresponding to each target image, and u is the selected compensation value.
Optionally, the plurality of target images are a plurality of gray scale target images.
In addition, in order to achieve the above object, the present invention also proposes an image processing apparatus including:
the acquisition module is used for acquiring a target image of the target display when the target display outputs a test picture;
the determining module is used for determining an image to be compensated of a preset LED lamp and a reference image of a reference LED lamp in the target image;
a first obtaining module, configured to obtain a selected compensation value based on a pixel value of the image to be compensated and a pixel value of the reference image;
and the second obtaining module is used for carrying out pixel processing on the image to be compensated in the target image by utilizing the selected compensation value to obtain a result image.
In addition, to achieve the above object, the present invention also proposes a terminal device including: a memory, a processor and an image processing program stored on the memory and running on the processor, which image processing program when executed by the processor implements the steps of the image processing method as claimed in any one of the preceding claims.
In addition, in order to achieve the above object, the present invention also proposes a computer-readable storage medium having stored thereon an image processing program which, when executed by a processor, implements the steps of the image processing method as set forth in any one of the above.
The technical scheme of the invention provides an image processing method, which comprises the steps of obtaining a target image of a target display when the target display outputs a test picture; determining an image to be compensated of a preset LED lamp and a reference image of a reference LED lamp in the target image; obtaining a selected compensation value based on the pixel value of the image to be compensated and the pixel value of the reference image; and carrying out pixel processing on the image to be compensated in the target image by using the selected compensation value to obtain a result image. Because the display screen obtains the target image of the target display when outputting the test picture, the preset LED lamp corresponding to the display in the target image is different from the brightness information of the reference LED lamp, the preset LED and the like have lower brightness, so that the accuracy of the image to be compensated of the preset LED lamp in the target image is lower, and the image accuracy corresponding to the preset LED lamp in the obtained result image is higher by carrying out compensation processing on the image to be compensated of the preset LED lamp in the target image.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to the structures shown in these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of a terminal device structure of a hardware running environment according to an embodiment of the present invention;
FIG. 2 is a flowchart of a first embodiment of an image processing method according to the present invention;
FIG. 3 is a schematic diagram of an image to be compensated for a preset LED lamp in a target display;
fig. 4 is a block diagram showing the structure of a first embodiment of an image processing apparatus according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic diagram of a terminal device structure of a hardware running environment according to an embodiment of the present invention.
The terminal device may be a Mobile phone, a smart phone, a notebook computer, a digital broadcast receiver, a Personal Digital Assistant (PDA), a tablet personal computer (PAD), or other User Equipment (UE), a handheld device, a vehicle mounted device, a wearable device, a computing device, or other processing device connected to a wireless modem, a Mobile Station (MS), or the like. The terminal device may be referred to as a user terminal, a portable terminal, a desktop terminal, etc.
In general, a terminal device includes: at least one processor 301, a memory 302 and an image processing program stored on said memory and executable on said processor, said image processing program being configured to implement the steps of the image processing method as described before.
Processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 301 may be implemented in at least one hardware form of DSP (Digital Signal Processing ), FPGA (Field-Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array ). The processor 301 may also include a main processor, which is a processor for processing data in an awake state, also called a CPU (Central ProcessingUnit ), and a coprocessor; a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 301 may integrate a GPU (Graphics Processing Unit, image processor) for rendering and drawing of content required to be displayed by the display. The processor 301 may also include an AI (Artificial Intelligence ) processor for processing related image processing method operations so that the image processing method model may be self-training learned, improving efficiency and accuracy.
Memory 302 may include one or more computer-readable storage media, which may be non-transitory. Memory 302 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 302 is used to store at least one instruction for execution by processor 301 to implement the image processing methods provided by the method embodiments herein.
In some embodiments, the terminal may further optionally include: a communication interface 303, and at least one peripheral device. The processor 301, the memory 302 and the communication interface 303 may be connected by a bus or signal lines. The respective peripheral devices may be connected to the communication interface 303 through a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 304, a display 305, and a power supply 306.
The communication interface 303 may be used to connect at least one peripheral device associated with an I/O (Input/Output) to the processor 301 and the memory 302. In some embodiments, processor 301, memory 302, and communication interface 303 are integrated on the same chip or circuit board; in some other embodiments, either or both of the processor 301, the memory 302, and the communication interface 303 may be implemented on separate chips or circuit boards, which is not limited in this embodiment.
The Radio Frequency circuit 304 is configured to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuitry 304 communicates with a communication network and other communication devices via electromagnetic signals. The radio frequency circuit 304 converts an electrical signal into an electromagnetic signal for transmission, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 304 includes: antenna systems, RF transceivers, one or more amplifiers, tuners, oscillators, digital signal processors, codec chipsets, subscriber identity module cards, and so forth. The radio frequency circuitry 304 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocol includes, but is not limited to: metropolitan area networks, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and/or WiFi (Wireless Fidelity ) networks. In some embodiments, the radio frequency circuitry 304 may also include NFC (Near Field Communication ) related circuitry, which is not limited in this application.
The display 305 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When display 305 is a touch display, display 305 also has the ability to collect touch signals at or above the surface of display 305. The touch signal may be input as a control signal to the processor 301 for processing. At this point, display 305 may also be used to provide virtual buttons and/or virtual keyboards, also referred to as soft buttons and/or soft keyboards. In some embodiments, the display 305 may be one, the front panel of an electronic device; in other embodiments, the display 305 may be at least two, respectively disposed on different surfaces of the electronic device or in a folded design; in still other embodiments, the display 305 may be a flexible display disposed on a curved surface or a folded surface of the electronic device. Even more, the display 305 may be arranged in a non-rectangular irregular pattern, i.e. a shaped screen. The display 305 may be made of LCD (LiquidCrystal Display ), OLED (Organic Light-Emitting Diode) or other materials.
The power supply 306 is used to power the various components in the electronic device. The power source 306 may be alternating current, direct current, disposable or rechargeable. When the power source 306 comprises a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology. It will be appreciated by those skilled in the art that the structure shown in fig. 1 does not constitute a limitation of the terminal device, and may include more or less components than illustrated, or may combine certain components, or may be arranged in different components.
Furthermore, an embodiment of the present invention also proposes a computer-readable storage medium having stored thereon an image processing program which, when executed by a processor, implements the steps of the image processing method as described above. Therefore, a detailed description will not be given here. In addition, the description of the beneficial effects of the same method is omitted. For technical details not disclosed in the embodiments of the computer-readable storage medium according to the present application, please refer to the description of the method embodiments of the present application. As determined as an example, the program instructions may be deployed to be executed on one terminal device or on multiple terminal devices located at one site or, alternatively, on multiple terminal devices distributed across multiple sites and interconnected by a communication network.
Those skilled in the art will appreciate that implementing all or part of the above-described methods may be accomplished by way of computer programs, which may be stored on a computer-readable storage medium, and which, when executed, may comprise the steps of the embodiments of the methods described above. The computer readable storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random access Memory (Random AccessMemory, RAM), or the like.
Based on the above hardware structure, an embodiment of the image processing method of the present invention is presented.
Referring to fig. 2, fig. 2 is a flowchart of a first embodiment of an image processing method according to the present invention, where the method is used for a terminal device, and the method includes the following steps:
step S11: and when the target display outputs the test picture, acquiring a target image of the target display.
The execution subject of the present invention is a terminal device that installs an image processing program, and when the terminal device executes the image processing program, the steps of the image processing method according to the embodiment of the present invention are implemented. The target display is a display to be corrected, and a part of LED lamps in the display to be corrected need to be subjected to position correction. The target display can be a single-box display, or a display composed of multiple boxes, and the invention is not limited.
The LED display needs to be corrected for uniformity of luminance and chromaticity before it is put into use. In the field of uniformity correction of brightness and chromaticity of an LED display, a point-by-point correction technology is an effective method at present. However, when a screen with uniform brightness is output from the target display, the brightness of the edge area and the middle area of the obtained target image are different due to different distribution of the surrounding LED lamps of the LED lamps in the boundary area and the LED lamps in the middle area, and the accuracy of the target image is low.
In general, when the target display is to be corrected, the target display is required to output a solid-color picture (i.e., a test picture), and an image of the target display when the solid-color picture is output is taken, where the image is the target image. When the target display is a single-color display, the target display outputs a solid-color picture corresponding to the single color, the target image is a single-color target image corresponding to the single-color display, and when the target display is a multi-color display, the target display outputs solid-color pictures corresponding to multiple colors respectively, and the target image comprises a plurality of single-color target images corresponding to the multiple color displays respectively. The image processing method of the present application needs to be performed on each color of the target image, that is, when the target display is a monochrome display, the image processing method needs to be performed only once, and when the target display is a multicolor display, the image processing method needs to be performed multiple times (multiple times may be performed simultaneously, that is, parallel, multiple times may be performed separately, that is, sequentially).
Firstly, the fixing device fixes the positions of the camera and the target display, so that the photographing distance of the camera is moderate, the adjusting view angle is in a better view angle, and the camera is required to vertically face the middle of the target display, so that the best angle of the target image is ensured.
In a specific application, the target image is a gray-scale target image, and the display form of the target image shot by the camera is a gray-scale form, or the original color target image shot by the camera needs to be converted into the gray-scale target image.
Step S12: and determining an image to be compensated of the preset LED lamp and a reference image of the reference LED lamp from the target image.
It should be noted that, in the present application, one LED lamp of the target display is one LED lamp unit, that is, when the target display is a 3-color display, one LED lamp unit includes one LED lamp unit formed by three LED lamps of different colors. The LED lamps of the border area of the target display (the target display is usually rectangular, the border area refers to four sides, the display can also be in the shape of other target graphics, the border area is the area corresponding to the side of the target graphics) are preset LED lamps, and the LED lamps next to the border area are reference LED lamps.
For example, the target display includes 540×480 LED lamps (540×480 LED lamp units), and the boundary areas may be the uppermost 5 rows of the upper boundary, the lowermost 5 rows of the lower boundary, the leftmost 5 columns of the left boundary, and the rightmost 5 columns of the right boundary, respectively, where the LED lamps corresponding to the boundary areas are preset LED lamps, that is, the boundary areas are preset areas; the target display comprises 540 x 480 LED lamps, the reference area can be respectively the 5 th-10 th row at the uppermost side of the upper boundary, the 5 th-10 th row at the lowermost side of the lower boundary, the 5 th-10 th column at the leftmost side of the left boundary and the 5 th-10 th column at the rightmost side of the right boundary, the LED lamps corresponding to the reference area are the reference LED lamps, the number of rows or columns of the reference area is not lower than that of the boundary area generally, and the boundary area takes 5 rows (or columns) to be better.
In addition, a certain number of rows and columns can be developed outside the boundary area of the target display, the developed number of rows and columns are used as a new boundary area, and the original boundary area of the target display is used as a reference area.
For example, the target display includes 540×480 LED lamps (540×480 LED lamp units), the boundary areas may be respectively the uppermost 5 rows of the upper boundary, the lowermost 5 rows of the lower boundary, the leftmost 5 columns of the left boundary, and the rightmost 5 columns of the right boundary, and the LED lamps corresponding to the boundary areas are preset LED lamps; the target display includes 540 x 480 LED lamps. 5 rows are respectively expanded at the upper and lower boundaries of the target display, 5 columns are respectively expanded at the left and right boundaries of the target display, namely, the new target display corresponds to 550 x 490 LED lamps. The preset area is the 5 th row at the uppermost side, the 5 th row at the lowermost side, the 5 th column at the leftmost side and the 5 th column at the rightmost side of the upper boundary, the reference area is the 5 th-10 th row at the uppermost side, the 5 th-10 th row at the lowermost side, the 5 th-10 th column at the leftmost side and the 5 th-10 th column at the rightmost side, and the reference area is the preset area of the original target display. Taking the image to be compensated of the preset area of the new target display as the image to be compensated of the preset area of the original target display, and taking the reference image of the reference area of the new target display as the reference image of the reference area of the original target display.
It can be understood that the image to be compensated of the preset LED lamp and the reference image of the reference LED lamp are part of the images in the target image respectively, and when the image processing method of the present application is used for processing the target image, no processing is performed on other part of the images in the target image.
Meanwhile, the reference LED lamp and the preset LED lamp of the same target display are fixed, for example, a user determines that a boundary area (preset area) is an uppermost 5 rows of an upper boundary, a lowermost 5 rows of a lower boundary, a leftmost 5 rows of a left boundary and a rightmost 5 rows of a right boundary, and when target images of the same target display are shot for multiple times, positions of a to-be-compensated image of the preset LED lamp and a reference image of the reference LED lamp in the target images shot for multiple times are relatively unchanged.
Step S13: and obtaining a selected compensation value based on the pixel value of the image to be compensated and the pixel value of the reference image.
Step S14: and carrying out pixel processing on the image to be compensated in the target image by using the selected compensation value to obtain a result image.
Specifically, before step S13, the method further includes: carrying out pixel processing on the boundary area with uneven pixel values in the image to be compensated so as to obtain a preprocessed image with uniform pixel values of the boundary area; the corresponding step S13 includes: obtaining a selected compensation value based on pixel values of the pre-processed image and pixel values of the reference image; correspondingly, step S14 includes: and carrying out pixel processing on the preprocessed image corresponding to the target image by using the selected compensation value to obtain a result image.
It should be noted that, one preset LED lamp corresponds to one image to be compensated, one preset LED lamp corresponds to one reference LED lamp, and one reference LED lamp corresponds to one reference image. Because the preset LED lamps are positioned in the boundary area, the pixel values of the boundary area of the corresponding image to be compensated are uneven, the pixel values of the boundary area of the image to be compensated, which corresponds to each preset LED lamp, are uneven, and the image to be compensated, which corresponds to each preset LED lamp, needs to be subjected to pixel processing so as to obtain a preprocessed image with uniform pixel values of the boundary area, which corresponds to each preset LED lamp.
Referring to fig. 3, fig. 3 is a schematic diagram of an image to be compensated of a preset LED lamp in a target display; the LED lamp is the preset LED lamp at the leftmost side and the uppermost side of the target display, the brightness of the left side (1 area) and the upper side (2 area) of the target display is lower, and the pixel value of the corresponding image to be compensated is lower because no other LED lamp is arranged at the left side and the upper side of the target display. And mapping pixel values corresponding to 5 areas and 4 areas of the image to be compensated of the preset LED lamp to 1 area and 2 areas respectively, namely replacing the pixel value of the 1 area with the pixel value of the 5 area, replacing the pixel value of the 2 area with the pixel value of the 4 area, and obtaining a preprocessed image corresponding to the preset LED lamp, wherein the pixel values of the 1 area and the 5 area in the preprocessed image corresponding to the preset LED lamp are the same, and the pixel values of the 2 area and the 4 area are the same. Meanwhile, the pixel value of the preprocessed image corresponding to the preset LED lamp is an average value of the pixel values of all the pixel points included in the five areas in fig. 3.
After pixel processing is completed on all the preprocessed images of all the preset LED lamps in each row and each column corresponding to the preset area, all the preprocessed images of the row and the column are obtained; when the preset LED lamp includes a plurality of rows and a plurality of columns, the preprocessed image includes all of the preprocessed images of the plurality of rows and the plurality of columns. Meanwhile, one row (or column) of preset LED lamps corresponds to one row (or column) of reference LED lamps, and a plurality of rows (or columns) of preset LED lamps corresponds to a plurality of rows (or columns) of reference LED lamps. And obtaining the selected compensation value of all the preprocessed images corresponding to the preset LED lamps in each row (or column) based on the pixel values of all the preprocessed images of the preset LEDs in each row (or column) and the pixel values of all the reference images of the corresponding row (or column) of reference LED lamps.
For example, the border areas of the target display are the uppermost 5 rows, the lowermost 5 rows of the lower border, the leftmost 5 columns of the left border, and the rightmost 5 columns of the right border, and the reference areas are the uppermost 5-10 rows of the upper border, the outermost 5-10 rows of the lower border, the leftmost 5-10 columns of the left border, and the rightmost 5-10 columns of the right border, respectively. Taking the preset LEDs on the 5 th row at the uppermost side and the corresponding reference LEDs on the 5 th-10 th row at the uppermost side of the upper boundary as an example, defining each row of LED lamps as U1 and U2 from top to bottom, wherein U1-U5 are preset LED lamps, U6-U10 are reference LED lamps, U1 corresponds to U6, U2 corresponds to U7, and similarly, U3 corresponds to U8, U4 corresponds to U9, and U5 corresponds to U10.
For each row of preset LED lamps in U1-U5, respectively performing pixel value calculation (refer to the calculation of the pixel values in the figure 3) on all the preset images corresponding to the preset LED lamps in the row to obtain the pixel values of all the preset images corresponding to the preset LED lamps in the row, and calculating the average value of all the preset image pixel values corresponding to the preset LED lamps in the row to obtain the average pixel value of all the preset images in the row, wherein the average pixel value is the pixel value to be compensated for selecting the pixel value to be compensated for all the preset images in the row, and the pixel values to be compensated are the pixel values of all the preset images in the row, namely the pixel values of all the preset images in the same row are the same and are all the pixel values to be compensated for selecting; similarly, the selected reference pixel values of all the reference images corresponding to each row of reference LED lamps are calculated, and the selected reference pixel values are used as the pixel values of all the reference images of the row, that is, the pixel values of all the reference images of the same row are the same, and are all selected reference pixel values. U1-U5 corresponds to 5 selected pixel values to be compensated, U6-U10 corresponds to 5 selected reference pixel values, the ratio of the selected reference pixel value of U6 to the corresponding selected pixel value to be compensated of U1 is calculated, the ratio is the selected compensation value of all the preprocessed images corresponding to U1, and similarly, the selected compensation values corresponding to U1-U5 are respectively obtained.
And then, compensating all the preprocessed images corresponding to U1-U5 by using the selected compensation values corresponding to U1-U5 respectively to obtain compensated images, wherein the pixel values of the images corresponding to U1-U5 in the compensated images are all compensated and adjusted, the compensated images are restored to the areas corresponding to the preset LED lamps in the target images, so that a result image can be obtained, and the pixel values of the areas corresponding to the preset LEDs (the compensated images) in the result image are changed, and the pixel values of other areas are unchanged.
Further, the target image comprises a plurality of target images corresponding to the target display when outputting test pictures with different brightness, and each target image in the plurality of target images corresponds to a preprocessing image and a reference image; the step of obtaining a selected compensation value based on pixel values of the pre-processed image and pixel values of the reference image comprises: acquiring a preliminary compensation value of each target image based on the preprocessed image pixel value corresponding to each target image and the reference image pixel value corresponding to each target image; based on the initial selection compensation value of each target image, a plurality of initial selection compensation values of the target images are obtained; obtaining the selected compensation value based on the plurality of preliminary selected compensation values; the step of performing pixel processing on the image to be compensated in the target image by using the selected compensation value to obtain a result image comprises the following steps: and carrying out pixel processing on the image to be compensated corresponding to each target image by using the selected compensation value to obtain a result image.
Specifically, the step of determining the selected compensation value from the plurality of initially selected compensation values includes: the selected compensation value is obtained based on the plurality of initially selected compensation values using a least squares method. The least square method refers to a formula II, wherein the formula II is as follows:
wherein n is the number of the plurality of preliminary selection compensation values, l m For the selected compensation value, l i For an i-th preliminary selection compensation value of the plurality of preliminary selection compensation values,the mean square error is the minimum, the l is obtained m A specific value for the compensation value is selected.
The step of performing pixel processing on the preprocessed image corresponding to the target image by using the selected compensation value to obtain a result image includes: performing compensation processing on pixel values of the preprocessed images corresponding to each target image by using the selected compensation values to obtain output images corresponding to each target image; and obtaining the result image based on the output image corresponding to each target image.
For example, the border areas of the target display are the uppermost 5 rows, the lowermost 5 rows of the lower border, the leftmost 5 columns of the left border, and the rightmost 5 columns of the right border, and the reference areas are the uppermost 5-10 rows of the upper border, the outermost 5-10 rows of the lower border, the leftmost 5-10 columns of the left border, and the rightmost 5-10 columns of the right border, respectively. Taking the preset LEDs on the 5 th row at the uppermost side and the corresponding reference LEDs on the 5 th-10 th row at the uppermost side of the upper boundary as an example, defining each row of LED lamps as U1 and U2 from top to bottom, wherein U1-U5 are preset LED lamps, U6-U10 are reference LED lamps, U1 corresponds to U6, U2 corresponds to U7, and similarly, U3 corresponds to U8, U4 corresponds to U9, and U5 corresponds to U10.
The target image comprises 3 target images with three brightness corresponding to each other: an A1 image, an A2 image, and an A3 image. Taking an image A1 as an example, for each row of preset LED lamps in U1-U5, respectively calculating pixel values of all the preset images corresponding to the preset LED lamps in the row (refer to the calculation of the pixel values in the figure 3), obtaining the pixel values of all the preset images corresponding to the preset LED lamps in the row, and obtaining the average value of all the preset image pixel values corresponding to the preset LED lamps in the row, wherein the average pixel value is the pixel value to be compensated of all the preset images in the row, and the selected pixel value to be compensated is the pixel value of all the preset images in the row, namely the pixel values of all the preset images in the same row are the same and are all the pixel values to be compensated; similarly, the selected reference pixel values of all the reference images corresponding to each row of reference LED lamps are calculated, and the selected reference pixel values are used as the pixel values of all the reference images of the row, that is, the pixel values of all the reference images of the same row are the same, and are all selected reference pixel values.
U1-U5 corresponds to 5 selected pixel values to be compensated, U6-U10 corresponds to 5 selected reference pixel values, the ratio of the selected reference pixel value of U6 to the corresponding selected pixel value to be compensated of U1 is calculated, the ratio is the initial selection compensation value of all the preprocessed images corresponding to U1, and the initial selection compensation values corresponding to U1-U5 are respectively obtained in the same way.
And respectively carrying out calculation on the preliminary selection compensation values of the A2 image and the A3 image to obtain preliminary selection compensation values corresponding to the U1-U5, wherein the preliminary selection compensation values respectively comprise 3 preliminary selection compensation values, the selected compensation values corresponding to the U1 are obtained based on the 3 preliminary selection compensation values corresponding to the U1 by utilizing a least square method, 5 selected compensation values corresponding to the U1-U5 are obtained by carrying out calculation in a similar way, all the preprocessed images in the A1, the A2 and the A3 are respectively compensated by using the selected compensation values corresponding to the U1-U5, the compensated images corresponding to the A1, the A2 and the A3 are obtained, namely the output images corresponding to the A1, the A2 and the A3 are restored to the areas corresponding to the preset LED lamps in the A1, the A2 and the A3, and the result images corresponding to the A1, the A2 and the A3 are obtained.
It can be understood that the pixel value of the preprocessed image corresponding to each target image is compensated by using the selected compensation value, and in fact, the pixel value of the preprocessed image corresponding to each target image is calculated by using the selected compensation value, so as to obtain a resultant image corresponding to the target image. The pixel value of the result image is changed in comparison with the original target image, and the pixel value of the other parts is not changed, namely, the pixel value of the target image local area (the area corresponding to the preprocessing image) is adjusted.
The step of compensating the pixel value of the preprocessed image corresponding to each target image by using the selected compensation value to obtain an output image corresponding to each target image includes:
using the selected compensation value to carry out compensation processing on the pixel value of the preprocessed image corresponding to each target image through a formula I, and obtaining an output image corresponding to each target image;
the first formula is:
row′＝u×row
wherein row is the pixel value of the preprocessed image corresponding to each target image, row' is the pixel value of the output image corresponding to each target image, and u is the selected compensation value.
For example, the target display is a three-color display including R (red), G (green) and B (blue), the preset LED areas correspond to K rows (or columns) and are ordered with the outside-in side row (or column), and the selected compensation value obtained can be expressed as u j，R 、u j，G And u j，B The red selected compensation value, the green selected compensation value and the blue selected compensation value of the preprocessed image corresponding to the j-th row (or column) of preset LEDs are respectively indicated, that is, the multicolor display is respectively subjected to calculation and compensation processing of the selected compensation values of multiple colors. At this time, the formula two can be expressed as:
Wherein row j，R 、row j，R And row j，B Red, green and blue pre-processed image pixel values, respectively, corresponding row' j，R 、row′ j，G And row' j，B Red, green and blue result image pixel values, respectively.
The technical scheme of the invention provides an image processing method, which comprises the steps of obtaining a target image of a target display when the target display outputs a test picture; determining an image to be compensated of a preset LED lamp and a reference image of a reference LED lamp in the target image; obtaining a selected compensation value based on the pixel value of the image to be compensated and the pixel value of the reference image; and carrying out pixel processing on the image to be compensated in the target image by using the selected compensation value to obtain a result image. Because the display screen obtains the target image of the target display when outputting the test picture, the preset LED lamp corresponding to the display in the target image is different from the brightness information of the reference LED lamp, the preset LED and the like have lower brightness, so that the accuracy of the image to be compensated of the preset LED lamp in the target image is lower, and the image accuracy corresponding to the preset LED lamp in the obtained result image is higher by carrying out compensation processing on the image to be compensated of the preset LED lamp in the target image.
Referring to fig. 4, fig. 4 is a block diagram showing the structure of a first embodiment of an image processing apparatus according to the present invention, the apparatus being for a terminal device, the apparatus comprising:
an obtaining module 10, configured to obtain a target image of a target display when the target display outputs a test frame;
the determining module 20 is configured to determine an image to be compensated of a preset LED lamp and a reference image of a reference LED lamp in the target image;
a first obtaining module 30, configured to obtain a selected compensation value based on the pixel value of the image to be compensated and the pixel value of the reference image;
and a second obtaining module 40, configured to perform pixel processing on the image to be compensated in the target image by using the selected compensation value, so as to obtain a result image.
The foregoing description is only of the optional embodiments of the present invention, and is not intended to limit the scope of the invention, and all the equivalent structural changes made by the description of the present invention and the accompanying drawings or the direct/indirect application in other related technical fields are included in the scope of the invention.

Claims (10)

1. An image processing method, characterized in that the image processing method comprises the steps of:
When a target display outputs a test picture, acquiring a target image of the target display;
determining an image to be compensated of a preset LED lamp and a reference image of a reference LED lamp in the target image;
obtaining a selected compensation value based on the pixel value of the image to be compensated and the pixel value of the reference image;
performing pixel processing on an image to be compensated in the target image by using the selected compensation value to obtain a result image;
the obtaining a selected compensation value based on the pixel value of the image to be compensated and the pixel value of the reference image includes:
determining a first row number or a first column number of preset LED lamps from a preset direction of a preset area; the preset area is a boundary area, the preset direction is the row direction or the column direction of the target image, the preset LED lamps at the outermost edge in the preset direction are the initial row or the initial column of the preset LED lamps, and the preset LED lamps at one side far away from the outermost edge are the tail row or the tail column of the preset LED lamps;
determining a second row number or a second column number of reference LED lamps from the reference direction of the reference area based on the preset direction; the reference direction is the row direction or the column direction of the target image, the reference LED lamp adjacent to the preset tail row or tail column of the LED lamp is the initial row or initial column of the reference LED lamp, the reference LED lamp far away from one side of the preset tail row or tail column of the LED lamp is the tail row or tail column of the reference LED lamp, the second row number is equal to the first row number, and the second column number is equal to the first column number;
In the row direction, a starting row of the preset LED lamps corresponds to a starting row of the reference LED lamps, a next row of preset LED lamps adjacent to the starting row of the preset LED lamps corresponds to a next row of reference LED lamps adjacent to the starting row of the reference LED lamps, and so on until an end row of the preset LED lamps corresponds to an end row of the reference LED lamps;
determining a first selected pixel value to be compensated of the preset LED lamps in each row and a first selected reference pixel value of a reference LED lamp corresponding to the preset LED lamps in each row; the first selected pixel value to be compensated is an average pixel value of each row of preset LED lamps, and the first selected reference pixel value is an average pixel value of each row of reference LED lamps;
calculating a first pixel ratio between the first selected reference pixel value of the reference LED lamp of each row and a first selected pixel value to be compensated of the preset LED lamp corresponding to the reference LED lamp of each row;
taking the first pixel ratio corresponding to each row of preset LED lamps as the selected compensation value of each row of preset LED lamps;
in the column direction, a starting column of the preset LED lamps corresponds to the starting column of the reference LED lamps, a next preset LED lamp adjacent to the starting column of the preset LED lamps corresponds to the next reference LED lamp adjacent to the starting column of the reference LED lamps, and so on until an end column of the preset LED lamps corresponds to the end column of the reference LED lamps;
Determining a second selected pixel value to be compensated of the preset LED lamps in each column and a second selected reference pixel value of the reference LED lamp corresponding to the preset LED lamps in each column; the second selected pixel value to be compensated is an average pixel value of preset LED lamps in each column, and the second selected reference pixel value is an average pixel value of reference LED lamps in each column;
calculating a second pixel ratio between the second selected reference pixel value of the reference LED lamp of each column and a second selected pixel value to be compensated of the preset LED lamp corresponding to the reference LED lamp of each column;
and taking the second pixel ratio corresponding to the preset LED lamps in each column as the selected compensation value of the preset LED lamps in each column.
2. The image processing method according to claim 1, wherein before the step of obtaining the selected compensation value based on the pixel value of the image to be compensated and the pixel value of the reference image, the method further comprises:
carrying out pixel processing on the boundary area with uneven pixel values in the image to be compensated so as to obtain a preprocessed image with uniform pixel values of the boundary area;
the step of obtaining a selected compensation value based on the pixel value of the image to be compensated and the pixel value of the reference image comprises:
Obtaining a selected compensation value based on pixel values of the pre-processed image and pixel values of the reference image;
the step of performing pixel processing on the image to be compensated in the target image by using the selected compensation value to obtain a result image comprises the following steps:
and carrying out pixel processing on the preprocessed image corresponding to the target image by using the selected compensation value to obtain a result image.
3. The image processing method according to claim 2, wherein the target image includes a plurality of target images corresponding to when the target display outputs different brightness test pictures, each of the plurality of target images corresponding to a pre-processing image and a reference image; the step of obtaining a selected compensation value based on pixel values of the pre-processed image and pixel values of the reference image comprises:
acquiring a preliminary compensation value of each target image based on the preprocessed image pixel value corresponding to each target image and the reference image pixel value corresponding to each target image;
based on the initial selection compensation value of each target image, a plurality of initial selection compensation values of the target images are obtained;
obtaining the selected compensation value based on the plurality of preliminary selected compensation values;
The step of performing pixel processing on the image to be compensated in the target image by using the selected compensation value to obtain a result image comprises the following steps:
and carrying out pixel processing on the image to be compensated corresponding to each target image by using the selected compensation value to obtain a result image.
4. The image processing method of claim 3, wherein the step of obtaining the selected compensation value based on the plurality of preliminary compensation values comprises:
the selected compensation value is obtained based on the plurality of initially selected compensation values using a least squares method.
5. The image processing method according to claim 4, wherein the step of performing pixel processing on the image to be compensated corresponding to each target image using the selected compensation value to obtain a resultant image includes:
performing compensation processing on pixel values of the preprocessed images corresponding to each target image by using the selected compensation values to obtain output images corresponding to each target image;
and obtaining the result image based on the output image corresponding to each target image.
6. The image processing method according to claim 5, wherein the step of performing compensation processing on the pixel values of the preprocessed image corresponding to each target image using the selected compensation value, and obtaining the output image corresponding to each target image comprises:
Using the selected compensation value to carry out compensation processing on the pixel value of the preprocessed image corresponding to each target image through a formula I, and obtaining an output image corresponding to each target image;
the first formula is:
wherein,for the pixel value of the pre-processed image corresponding to each target image +.>For the pixel value of the output image corresponding to each target image,/for each target image>For the selected compensation value.
7. The image processing method according to claim 6, wherein the plurality of target images are a plurality of gray scale target images.
8. An image processing apparatus, characterized in that the image processing apparatus comprises:
the acquisition module is used for acquiring a target image of the target display when the target display outputs a test picture;
the determining module is used for determining an image to be compensated of a preset LED lamp and a reference image of a reference LED lamp in the target image;
a first obtaining module, configured to obtain a selected compensation value based on a pixel value of the image to be compensated and a pixel value of the reference image;
the second obtaining module is used for carrying out pixel processing on the image to be compensated in the target image by utilizing the selected compensation value to obtain a result image;
The first obtaining module is further configured to determine a first row number or a first column number of preset LED lamps from a preset direction of a preset area; the preset area is a boundary area, the preset direction is the row direction or the column direction of the target image, the preset LED lamps at the outermost edge in the preset direction are the initial row or the initial column of the preset LED lamps, and the preset LED lamps at one side far away from the outermost edge are the tail row or the tail column of the preset LED lamps; determining a second row number or a second column number of reference LED lamps from the reference direction of the reference area based on the preset direction; the reference direction is the row direction or the column direction of the target image, the reference LED lamp adjacent to the preset tail row or tail column of the LED lamp is the initial row or initial column of the reference LED lamp, the reference LED lamp far away from one side of the preset tail row or tail column of the LED lamp is the tail row or tail column of the reference LED lamp, the second row number is equal to the first row number, and the second column number is equal to the first column number; in the row direction, a starting row of the preset LED lamps corresponds to a starting row of the reference LED lamps, a next row of preset LED lamps adjacent to the starting row of the preset LED lamps corresponds to a next row of reference LED lamps adjacent to the starting row of the reference LED lamps, and so on until an end row of the preset LED lamps corresponds to an end row of the reference LED lamps; determining a first selected pixel value to be compensated of the preset LED lamps in each row and a first selected reference pixel value of a reference LED lamp corresponding to the preset LED lamps in each row; the first selected pixel value to be compensated is an average pixel value of each row of preset LED lamps, and the first selected reference pixel value is an average pixel value of each row of reference LED lamps; calculating a first pixel ratio between the first selected reference pixel value of the reference LED lamp of each row and a first selected pixel value to be compensated of the preset LED lamp corresponding to the reference LED lamp of each row; taking the first pixel ratio corresponding to each row of preset LED lamps as the selected compensation value of each row of preset LED lamps; in the column direction, a starting column of the preset LED lamps corresponds to the starting column of the reference LED lamps, a next preset LED lamp adjacent to the starting column of the preset LED lamps corresponds to the next reference LED lamp adjacent to the starting column of the reference LED lamps, and so on until an end column of the preset LED lamps corresponds to the end column of the reference LED lamps; determining a second selected pixel value to be compensated of the preset LED lamps in each column and a second selected reference pixel value of the reference LED lamp corresponding to the preset LED lamps in each column; the second selected pixel value to be compensated is an average pixel value of preset LED lamps in each column, and the second selected reference pixel value is an average pixel value of reference LED lamps in each column; calculating a second pixel ratio between the second selected reference pixel value of the reference LED lamp of each column and a second selected pixel value to be compensated of the preset LED lamp corresponding to the reference LED lamp of each column; and taking the second pixel ratio corresponding to the preset LED lamps in each column as the selected compensation value of the preset LED lamps in each column.
9. A terminal device, characterized in that the terminal device comprises: memory, a processor and an image processing program stored on the memory and running on the processor, which image processing program when executed by the processor implements the steps of the image processing method according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which an image processing program is stored, which when executed by a processor implements the steps of the image processing method according to any one of claims 1 to 7.
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