CN104299188A - Image correction method and image correction system - Google Patents

Abstract

The present invention provides an image correction method, which comprises the steps of: acquiring an image; acquiring a pixel point in the image whose luminance value is greater than a preset luminance value, determining a minimum enclosing area according to the pixel point, and determining a minimum enclosing area according to the minimum enclosing area Determining areas of the image where ghosts and/or flares are located; and Correcting areas where the ghosting and/or flares are located. The invention also provides an image correction system. The invention can correct image ghost and glare in electronic equipment.

Description

Image correction method and system

technical field

The invention relates to an image processing method and system, in particular to a method and system for correcting images in electronic equipment.

Background technique

With the improvement of mobile phone performance, consumers' requirements for cameras in mobile phones are also gradually increasing, and this improvement is mainly reflected in the imaging effect of the camera. Due to factors such as strong light sources and camera lenses, images captured by the camera often produce ghost images and/or glare.

The ghosting and flare described are most common when shooting against the light. Generally, the phenomenon of whitening and haloing of the image caused by strong light is called glare. When sunlight or a point light source enters the lens of the camera, after multiple reflections, a clear bright spot like a ghost is formed at the relative position of the light source, which is called a ghost image.

The ability to resolve ghosting and glare intuitively reflects the performance of the camera imaging system. At present, major manufacturers mainly focus on hardware to deal with ghosting and glare, including changing the lens design of the camera and other methods. Using hardware to solve ghosting and glare has problems such as high cost and inconvenient application. Therefore, it is necessary to find a method for correcting the ghost and glare of the image captured by the camera conveniently and at low cost.

Contents of the invention

In view of the above, it is necessary to provide an image correction method and system, which can use software to correct image ghosting and glare.

An image correction method, running in an electronic device, comprising the steps of: (a) acquiring an image; (b) acquiring a pixel point in the image whose brightness value is greater than a preset brightness value, and determining a minimum pixel point according to the pixel point An enclosing area, determining the area where the ghost and/or glare in the image is located according to the minimum enclosing area; and (c) correcting the area where the ghost and/or glare are located.

An image correction system, applied to electronic equipment, the system includes: an acquisition module, used to acquire an image; a determination module, used to acquire a pixel point in the image whose brightness value is greater than a preset brightness value, and according to the pixel point Determine a minimum enclosing area, and determine the area where the ghost and/or glare in the image is located according to the minimum enclosing area; and a correction module, used to correct the area where the ghost and/or glare are located.

Compared with the prior art, the image correction method and system provided by the present invention can determine the area where the ghost and/or glare in the image is located according to the brightness value of each pixel in the image, and use the open operation and close operation , and area filling and other methods to process the area, to correct the ghost and glare in the image by software, without using hardware to correct, easy to apply, and low cost.

Description of drawings

FIG. 1 is a hardware architecture diagram of a preferred embodiment of the image correction system of the present invention.

Fig. 2 is a flow chart of the preferred embodiment of the image correction method of the present invention.

FIG. 3 includes FIG. 3A , FIG. 3B , FIG. 3C and FIG. 3D , which is a schematic view of the area where the ghost and/or glare is determined according to the present invention.

Description of main component symbols

Electronic equipment 100 image correction system 10 get module 11 judgment module 12 Determine the module 13 Modification module 14 camera unit 20 storage unit 30

The following specific embodiments will further illustrate the present invention in conjunction with the above-mentioned drawings.

Detailed ways

Referring to FIG. 1 , it is a hardware architecture diagram of a preferred embodiment of the image correction system of the present invention. The image correction system 10 runs in an electronic device 100, which may be a mobile phone, a tablet computer, a PDA (Personal Digital Assistant, PDA), a video camera, a camera and other electronic devices. The electronic device 100 may include a camera unit 20 . The camera unit 20 is used to capture images of objects, which may be people, animals, plants, and the like. The electronic device 100 also includes components such as a storage unit 30 . The storage unit 30 is used to store images captured by the camera unit 20 or images obtained from other data sources, such as images obtained from an external storage device or images downloaded from a network. The components 10-30 of the mobile device communicate via the system bus.

The image correction system 10 is used to obtain an image from the storage unit 30, and determine the area where the ghost and/or glare in the image is located according to the brightness value of each pixel in the image, and use the open operation, close operation, and Area fill processes the area to correct ghosting and flare in the image.

The image correction system 10 includes an acquisition module 11 , a judgment module 12 , a determination module 13 , and a correction module 14 . Modules 11-14 include computerized program instructions.

The acquiring module 11 is used for acquiring images from the storage unit 30 or directly acquiring images from the photographing unit 20 . The image includes multiple pixels, and each pixel corresponds to a brightness value.

The judging module 12 is used for judging whether ghost and/or glare exist in the image. In this preferred embodiment, the judging module 12 judges whether there are pixels in the image whose luminance value is greater than a preset luminance value. The preset brightness value is set by the system or the user according to the brightness values corresponding to ghost images and glare, for example, 50 lux (lux). When there are pixels in the image whose luminance value is greater than the preset luminance value, the judging module 12 judges that ghost and/or glare exist in the image. When there is no pixel in the image whose luminance value is greater than the preset luminance value, the judging module 12 judges that there is no ghost or glare in the image.

It should be noted that both ghosting and glare occur around strong light (such as indoor lights, sunlight, etc.), and the surrounding of strong light is the place with the highest brightness value in the image. The judging module 12 judges the location of the strong light by detecting the brightness value of each pixel in the image, so as to determine whether there is ghost and/or glare in the image.

When there are ghosts and/or glares in the image, the determining module 13 is configured to determine an area where the ghosts and/or glares are located in the image. In this preferred embodiment, the determining module 13 determines a minimum enclosing area according to the pixels whose luminance values are greater than a preset luminance value (hereinafter referred to as bright pixels for short). In this embodiment, the determining module 13 connects all the bright pixel points in pairs to form multiple closed areas, wherein the largest area that can enclose all the bright pixel points is the minimum enclosing area. There are 9 bright pixels in Fig. 3A. As shown in Fig. 3B, the 9 pixels are connected in pairs to obtain 6 bright pixels A', B', C', D', E' and The hexagon formed by F' can enclose all 9 bright pixels, and this hexagon is the minimum enclosing area corresponding to FIG. 3A .

The determination module 13 extracts the bright pixel points on the boundary of the minimum enclosing area, and searches for a nearest pixel point for each extracted bright pixel point outside the minimum enclosing area. As shown in Figure 3C, pixel points A, B, C, D, E, and F are vertices of the hexagon in Figure 3B, that is, bright pixel points A', B', C', D', E', and F 'Respectively corresponding to the nearest pixel. Afterwards, the determination module 13 calculates the difference between the brightness value of the extracted bright pixel point and the brightness value of the found corresponding pixel point, and judges whether any difference value is smaller than a preset difference value. The preset difference is preset by the system or the user, for example, 5lux.

In this preferred embodiment, when the difference between the brightness value of the extracted bright pixel point and the brightness value of the found corresponding pixel point is smaller than the preset difference value, the determination module 13 determines according to the difference value of the brightness value Pixels smaller than the preset difference value and the bright pixels are used to redefine a minimum enclosing area, and the re-determined minimum enclosing area is determined as the area where ghosts and/or glares are located. As shown in Figure 3D, the pixel points A, C, and F are pixels whose brightness value difference is less than the preset difference value, and a five-point pixel point composed of pixel points A, C, D', E', and F is re-determined. The minimum enclosing area of a polygon. When the difference between the luminance value of the unextracted bright pixel and the luminance value of the found corresponding pixel is smaller than the preset difference, the determining module 13 determines the minimum enclosing area determined according to the bright pixel as ghost areas where shadows and/or glare are present.

It should be noted that, after determining the minimum enclosing area according to the bright pixels, the above-mentioned determination module 13 searches whether there are pixels outside the minimum enclosing area that meet the requirements, so as to determine whether the minimum enclosing area needs to be re-determined, which can avoid After the area where the ghost and/or glare is located, the brightness of the pixels outside the minimum enclosing area is too large, resulting in an obvious difference in brightness. In other embodiments, the minimum enclosing area determined according to the bright pixels can be directly determined as the area where the ghost and/or glare is located, without the need to find whether there are pixels outside the minimum enclosing area that meet the requirements, so as to re-determine the minimum enclosing area. Surround the area.

The correction module 14 is used for correcting the area where the ghost and/or glare are located. The corrected image can be stored in the storage unit 30 . In this preferred embodiment, the correction module 14 uses the close operation to process the pixels in the region where the ghost and/or glare is located, whose luminance value is greater than a preset threshold, and uses the open operation to process the ghost And/or the pixels in the area where the glare is located have a luminance value not greater than the preset threshold. The preset threshold is determined by the preset brightness value and the preset difference value, and is the difference between the preset brightness value and the preset difference value, for example, 45 lux. The closing operation is used to fuse narrow discontinuities in pixels and ablate small holes in pixels. The opening operation is opposite to the closing operation, and is used to break the narrow discontinuities in the pixels and eliminate the thin protrusions in the pixels. Afterwards, the correction module 14 fills all the pixels in the area where the ghost and/or glare is located, that is, fills the holes and thin protrusions of the pixels with colors or patterns.

Referring to FIG. 2 , it is a flow chart of a preferred embodiment of the image correction method of the present invention.

Step S10 , the acquiring module 11 acquires images from the storage unit 30 or directly acquires images from the photographing unit 20 . The image includes multiple pixels, and each pixel corresponds to a brightness value.

In step S20, the judging module 12 judges whether ghosts and/or glare exist in the image. When there are ghosts and/or glares in the image, step S30 is performed. When there is no ghost and glare in the image, the process is directly ended.

In this preferred embodiment, the judging module 12 judges whether there are pixels in the image whose luminance value is greater than a preset luminance value. The preset brightness value is set by the system or the user according to the brightness values corresponding to ghost images and glare, for example, 50 lux (lux). When there are pixels in the image whose luminance value is greater than the preset luminance value, the judging module 12 judges that ghost and/or glare exist in the image. When there is no pixel in the image whose luminance value is greater than the preset luminance value, the judging module 12 judges that there is no ghost or glare in the image.

In step S30, the determination module 13 determines the area where the ghost and/or glare is located in the image. In this preferred embodiment, the determination module 13 determines a minimum enclosing area according to the bright pixels whose luminance values are greater than a preset luminance value. The determining module 13 connects the bright pixel points two by two to form multiple closed areas, wherein the largest area surrounding all the bright pixel points is the minimum enclosing area.

The determination module 13 extracts the bright pixel points on the boundary of the minimum enclosing area, and searches for a nearest pixel point for each extracted bright pixel point outside the minimum enclosing area. Afterwards, the determination module 13 calculates the difference between the brightness value of the extracted bright pixel point and the brightness value of the found corresponding pixel point, and judges whether any difference value is smaller than a preset difference value. The preset difference is preset by the system or the user, for example, 5lux.

In this preferred embodiment, when the difference between the brightness value of the extracted bright pixel point and the brightness value of the found corresponding pixel point is smaller than the preset difference value, the determination module 13 determines according to the difference value of the brightness value Pixels smaller than the preset difference value and the bright pixels are used to redefine a minimum enclosing area, and the re-determined minimum enclosing area is determined as the area where ghosts and/or glares are located. When the difference between the luminance value of the unextracted bright pixel and the luminance value of the found corresponding pixel is smaller than the preset difference, the determining module 13 determines the minimum enclosing area determined according to the bright pixel as ghost areas where shadows and/or glare are present.

In step S40, the correction module 14 corrects the area where the ghost and/or glare is located. The corrected image can be stored in the storage unit 30 . In this preferred embodiment, the correction module 14 uses the close operation to process the pixels in the region where the ghost and/or glare is located, whose luminance value is greater than a preset threshold, and uses the open operation to process the ghost And/or the pixels in the area where the glare is located have a luminance value not greater than the preset threshold. The preset threshold is determined by the preset brightness value and the preset difference value, and is the difference between the preset brightness value and the preset difference value, for example, 45 lux. Afterwards, the correction module 14 fills all the pixels in the area where the ghost and/or glare are located.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention without limitation, although the present invention has been described in detail with reference to the above preferred embodiments, those of ordinary skill in the art should understand that the present invention can be The technical solution shall be modified or equivalently replaced without departing from the spirit and scope of the technical solution of the present invention.

Claims (8)

1. A method for image correction, which operates in electronic equipment, is characterized in that the method comprises: Acquisition step: acquire image; Determining step: acquiring a pixel point in the image whose luminance value is greater than a preset luminance value, determining a minimum enclosing area according to the pixel point, and determining where the ghost and/or glare in the image is located according to the minimum enclosing area area; and Correction step: correct the area where the ghost and/or glare is located. 2. The image correction method according to claim 1, wherein the minimum enclosing area forms a plurality of closed areas by connecting the acquired pixel points in pairs, wherein the maximum area surrounding all the acquired pixel points is The minimum enclosing area. 3. The image correction method according to claim 1, wherein the determining step determines the region where the ghost and/or glare is located by the following steps: Extract the pixels on the boundary of the minimum enclosing area, and find a nearest pixel for each extracted pixel outside the minimum enclosing area; calculating the difference between the brightness value of the extracted pixel and the brightness value of the found corresponding pixel, and judging whether any difference is smaller than a preset difference; When the difference between the brightness value of the extracted pixel point and the brightness value of the found corresponding pixel point is less than the preset difference value, according to the pixels whose brightness value difference is smaller than the preset difference value and the acquired pixels to re-determine a minimum enclosing area, and determine that the re-determined minimum enclosing area is the area where the ghost and/or glare is located; and When the difference between the luminance value of the pixel that is not extracted and the luminance value of the found corresponding pixel is smaller than the preset difference, the minimum enclosing area determined according to the acquired pixel is determined as a ghost and/or The area where the glare is located. 4. The image correction method according to claim 1, wherein the correction step comprises: Use the close operation to process the pixels whose luminance value is greater than a preset threshold in the area where the ghost and/or glare is located, and use the open operation to process the luminance value in the area where the ghost and/or glare is not greater than the pixels of the preset threshold; and All pixels in the region where the ghost and/or glare are located are filled. 5. An image correction system applied in electronic equipment, characterized in that the system comprises: An acquisition module for acquiring images; A determining module, configured to obtain a pixel point in the image whose luminance value is greater than a preset luminance value, determine a minimum enclosing area according to the pixel point, and determine ghosting and/or glare in the image according to the minimum enclosing area the area in which it is located; and The correction module is used to correct the area where the ghost and/or glare are located. 6. The image correction system as claimed in claim 5, wherein the minimum enclosing area forms a plurality of closed areas by connecting the acquired pixel points in pairs, wherein the maximum area surrounding all the acquired pixel points is The minimum enclosing area. 7. The image correction system according to claim 5, wherein the determination module determines the area where the ghost and/or glare is located by the following steps: Extract the pixels on the boundary of the minimum enclosing area, and find a nearest pixel for each extracted pixel outside the minimum enclosing area; calculating the difference between the brightness value of the extracted pixel and the brightness value of the found corresponding pixel, and judging whether any difference is smaller than a preset difference; When the difference between the brightness value of the extracted pixel point and the brightness value of the found corresponding pixel point is less than the preset difference value, according to the pixels whose brightness value difference is smaller than the preset difference value and the acquired pixels to re-determine a minimum enclosing area, and determine that the re-determined minimum enclosing area is the area where the ghost and/or glare is located; and When the difference between the luminance value of the pixel that is not extracted and the luminance value of the found corresponding pixel is smaller than the preset difference, the minimum enclosing area determined according to the acquired pixel is determined as a ghost and/or The area where the glare is located. 8. The image correction system according to claim 5, wherein the correction module corrects the region where the ghost and/or glare is located by the following steps: Use the close operation to process the pixels whose luminance value is greater than a preset threshold in the area where the ghost and/or glare is located, and use the open operation to process the luminance value in the area where the ghost and/or glare is not greater than the pixels of the preset threshold; and All pixels in the region where the ghost and/or glare are located are filled.