CN107977947A - An image processing method, mobile terminal - Google Patents

Abstract

The present invention discloses an image processing method and a mobile terminal. The method includes: determining a rounded area and a corner area corresponding to the corner according to a first preset rounding coefficient corresponding to any corner in a target image; According to the pixel value of each pixel point in the image corresponding to the corner area, determine an effective area in the corner area, wherein the effective area indicates an area containing valid image information in the corner area; according to a preset A compression algorithm is used to compress the image corresponding to the effective area and the image corresponding to the rounded corner area into the rounded corner area. The present invention can avoid the loss of effective image information while realizing the rounded corner display of the image, and effectively improve the display effect of the rounded corner display of the image.

Description

An image processing method, mobile terminal

technical field

The present invention relates to the technical field of image processing, in particular to an image processing method and a mobile terminal.

Background technique

With the development of terminal technology, smart terminals such as mobile phones and tablet computers are widely used in people's daily life. Before the smart terminal displays the image, the corners of the image are generally processed for aesthetic requirements, and the original corner is replaced with a circular arc tangent to both sides of the corner to form a rounded corner, so that the rounded corner can be displayed on the smart terminal corner image.

At present, when the smart terminal processes the corners of the image, specifically, the corners other than the rounded corners in the image are cut out according to the fillet coefficient (the radius corresponding to the rounded corners), or the corners other than the rounded corners correspond to The image of the image is overlaid with a black floating layer to realize the rounded corner display of the image.

However, the above method is used to round the corners of the image, and the image corresponding to the corners other than the rounded corners is discarded. If this part of the image contains valid image information such as time stamps or text, it will cause loss of valid image information when the rounded corners of the image are displayed. Image information affects the display effect of image rounded corner display.

Contents of the invention

Embodiments of the present invention provide an image processing method and a mobile terminal to solve the problem in the prior art that valid image information is lost when an image is displayed with rounded corners.

In order to solve the problems of the technologies described above, the present invention is achieved in that:

In a first aspect, an embodiment of the present invention provides an image processing method, including:

According to the first preset fillet coefficient corresponding to any corner in the target image, determine the fillet area and corner area corresponding to the corner;

Determining an effective area in the corner area according to the pixel value of each pixel in the image corresponding to the corner area, wherein the effective area indicates an area containing valid image information in the corner area;

Compressing the image corresponding to the effective area and the image corresponding to the rounded corner area into the rounded corner area according to a preset compression algorithm.

In the second aspect, the embodiment of the present invention also provides a mobile terminal, including:

A determining module, configured to determine the rounded area and corner area corresponding to the corner according to the first preset fillet coefficient corresponding to any corner in the target image;

The determining module is further configured to determine an effective area in the corner area according to the pixel values of each pixel in the image corresponding to the corner area, wherein the effective area indicates that the corner area contains area of valid image information;

The compression module is configured to compress the image corresponding to the valid area and the image corresponding to the rounded area into the rounded area according to a preset compression algorithm.

In the third aspect, the embodiment of the present invention also provides a mobile terminal, including a processor, a memory, and an image processing program stored in the memory and operable on the processor, and the image processing program is executed by the The processor implements the steps of the above-mentioned image processing method when executed.

In a fourth aspect, an embodiment of the present invention further provides a computer storage medium, where an image processing program is stored on the computer-readable storage medium, and when the image processing program is executed by a processor, the steps of the image processing method as described above are implemented .

In the embodiment of the present invention, according to the first preset fillet coefficient corresponding to any corner in the target image, the rounded area and corner area corresponding to the corner are determined, and according to the value of each pixel in the image corresponding to the corner area Pixel value, determine the effective area containing effective image information in the corner area, and then compress the image corresponding to the effective area and the image corresponding to the rounded area into the rounded area according to the preset compression algorithm, so that the rounded area can be obtained The rounded corner image corresponding to the corner avoids the loss of effective image information while realizing the rounded corner display of the image, and effectively improves the display effect of the rounded corner display of the image.

Description of drawings

The accompanying drawings described here are used to provide a further understanding of the present invention, and constitute a part of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention, and do not constitute improper limitations to the present invention. In the attached picture:

FIG. 1 is a schematic flowchart of an image processing method provided by an embodiment of the present invention;

Fig. 2 is a schematic diagram of a target image provided by an embodiment of the present invention;

FIG. 3 is a schematic diagram of a rounded corner area and a corner area provided by an embodiment of the present invention;

Fig. 4 is a schematic diagram of the fillet processing process provided by the embodiment of the present invention;

FIG. 5 is a schematic diagram of the rounded corner display of the target image provided by the embodiment of the present invention;

FIG. 6 is a schematic structural diagram of a mobile terminal provided by an embodiment of the present invention;

Fig. 7 is a schematic diagram of a hardware structure of a mobile terminal implementing various embodiments of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions of the present invention in conjunction with specific embodiments of the present invention and corresponding drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

The technical solutions provided by various embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

Example 1

FIG. 1 is a schematic flowchart of an image processing method provided by an embodiment of the present invention. The method can be as follows.

Step 102: According to the first preset fillet coefficient corresponding to any corner in the target image, determine a rounded corner area and a corner area corresponding to the corner.

Wherein, the corner represents the angle between adjacent sides of the target image.

FIG. 2 is a schematic diagram of a target image provided by an embodiment of the present invention.

As shown in FIG. 2 , the target image is a right-angle image, that is, the target image includes four corners, and the four corners are all right angles.

For any corner in the target image, according to the first preset fillet coefficient corresponding to the corner, determine the fillet area and corner area corresponding to the corner, wherein the first preset fillet coefficient corresponding to the corner is the radius corresponding to the fillet.

It should be noted that the first preset fillet coefficient may be determined according to actual conditions, and is not specifically limited here.

Preferably, the fillet corresponding to any corner in the target image is a quarter circle, that is, a 90° arc.

FIG. 3 is a schematic diagram of a rounded corner area and a corner area provided by an embodiment of the present invention.

As shown in Figure 3, the corner A is a right angle of 90°, the first preset fillet coefficient corresponding to the corner A is a, and the fillet corresponding to the first preset fillet coefficient a is an angle of 90° , an arc L ₁ with radius a. The corner area 31 is an area including the corner A outside the arc _L1 , and the round area 32 is an area within the arc _L1 . The corner area 31 and the rounded area 32 together form a square area with a side length a.

Step 104: Determine an effective area in the corner area according to the pixel values of each pixel in the image corresponding to the corner area.

Wherein, the valid area refers to the area containing valid image information in the corner area.

In order to avoid loss of effective image information (for example, time stamp, text, etc.) in the corner area when the target image is displayed with rounded corners, an effective area containing effective image information is determined in the corner area.

In the embodiment of the present invention, according to the pixel value of each pixel point in the image corresponding to the corner area, the effective area is determined in the corner area, including:

Determine the background color corresponding to the first area formed by the rounded area and the corner area;

According to the background color and the pixel value of each pixel in the image corresponding to the corner region, an effective region is determined in the corner region.

Specifically, determining the background color corresponding to the first area jointly formed by the rounded corner area and the corner area includes:

performing region division on the first region by a region segmentation algorithm, and determining connected domains in the first region;

According to the pixel value of each pixel point in the image corresponding to the connected domain, the number of pixel points corresponding to any pixel value is counted;

The color corresponding to the pixel value with the largest number of pixels is determined as the background color.

Still taking the above-mentioned FIG. 3 as an example, the first area jointly formed by the corner area and the rounded area is a square with side length a.

The first region is divided by the region segmentation algorithm to generate each feature region, and then the isolated regions are eliminated, and finally a non-isolated connected domain is obtained.

For the connected domain determined above, according to the pixel value of each pixel in the image corresponding to the connected domain, count the number of pixels corresponding to any pixel value, and determine the color corresponding to the pixel value with the largest number of pixels as the first area the background color of .

For example, if the number of pixels corresponding to the pixel value 255 in the connected domain is the largest, the background color of the first region is white.

In the embodiment of the present invention, according to the pixel value of each pixel point in the image corresponding to the background color and the corner region, the effective region is determined in the corner region, including:

According to the second preset fillet coefficient, the corner area is divided into a second area and a third area, the second preset fillet coefficient is smaller than the first preset fillet coefficient, wherein the second area includes the corner, and the third The area is the area between the second area and the rounded corner area;

Determine the pixel ratio corresponding to the background color in the second area, where the pixel ratio represents the ratio of the number of pixels corresponding to the background color to the total number of pixels in the second area;

If the pixel ratio is greater than the preset ratio threshold, increasing the second preset fillet factor by a preset value as a new second preset fillet factor until the pixel ratio is not greater than the preset ratio threshold;

If the pixel ratio is not greater than the preset ratio threshold, the third area is determined as an effective area.

Still taking the above-mentioned FIG. 3 as an example, the corner area is divided into the second area and the third area according to the second preset fillet coefficient, and the schematic diagram of the corner filleting process shown in FIG. 4 is obtained. FIG. 4 is a schematic diagram of a fillet processing process provided by an embodiment of the present invention.

As shown in FIG. 4 , the second preset fillet coefficient is b, and the fillet corresponding to the second preset fillet coefficient b is an arc L ₂ with an angle of 90° and a radius of b. The arc L ₂ divides the corner area into a second area 42 and a third area 43 . The second area 42 includes a corner A, and the third area 43 is an area between the second area 42 and the rounded corner area 41 . The rounded area 41 , the second area 42 and the third area 42 together constitute the first area: a square area with side length a, where a>b.

According to the background color corresponding to the first area determined above, count the total number of pixels z in the second area and the number x of pixels corresponding to the background color, and then determine the pixel ratio x/z corresponding to the background color in the second area, that is, determine The ratio of the number x of pixels corresponding to the background color in the second area to the total number z of pixels.

If the proportion of pixels corresponding to the background color in the second area is greater than the preset ratio threshold m, that is, x/z>m, it can be determined that most of the second area is the background color, that is, the second area is an invalid area, excluding valid images information.

Furthermore, the second preset fillet coefficient increases by the preset value as the new second preset fillet coefficient. With the increase of the second preset fillet coefficient, the area of the second area increases, and the area of the third area decreases. Small. Repeat the above steps to determine the proportion of pixels corresponding to the background color in the second area until the proportion of pixels corresponding to the background color in the second area is not greater than the preset proportion threshold m, that is, x/z≤m, then it can be determined that the second area is not The invalid area with the largest area including the valid image information starts to include the valid image information in the target image in the third area, and the third area is determined as the valid area.

It should be noted that the second preset fillet factor, the preset ratio threshold, and the preset value may be determined according to actual conditions, and are not specifically limited here.

For example, the second preset fillet factor is the same as the preset value, which is a distance of 1 pixel; the preset ratio threshold of the preset value is 90%. That is, the second preset fillet factor determines the proportion of pixels corresponding to the background color in the second area from a distance of 1 pixel, and increases the second preset fillet factor by 1 when it is determined that the pixel proportion is not greater than 90%. The distance between pixels is used as the new second preset fillet factor, and the above steps are repeated to determine the pixel ratio corresponding to the background color in the second area until the pixel ratio is not greater than the preset ratio threshold 90%, then the third is determined. area is a valid area.

Step 106: According to a preset compression algorithm, compress the image corresponding to the effective area and the image corresponding to the rounded area into the rounded area.

After determining the effective area containing effective image information in the corner area, the preset compression algorithm is used to compress the image corresponding to the effective area and the image corresponding to the rounded area into the rounded area, so that the edge in the rounded area Corner corresponds to the rounded image.

Compared with compressing the image corresponding to the corner area and the image corresponding to the rounded area into the rounded area to obtain the rounded image corresponding to the corner, the image corresponding to the valid area in the corner area and the image corresponding to the rounded area Compressing into the rounded corner area can reduce the degree of deformation of the rounded corner image corresponding to the obtained corner and improve the display effect of the rounded corner image.

In the embodiment of the present invention, the preset compression algorithm includes: a correction algorithm based on latitude and longitude.

It should be noted that, in addition to the correction algorithm based on latitude and longitude, the preset compression algorithm may also be a correction algorithm based on concentric circles, or other compression algorithms, which are not specifically limited here.

In the embodiment of the present invention, after obtaining the rounded corner image corresponding to the corner in the rounded corner area, it also includes:

The image corresponding to the corner area is displayed according to the preset display effect.

After using the above method to obtain the rounded image corresponding to the corner in the rounded area, the image corresponding to the corner area is the part outside the rounded corner that can be discarded. For the image corresponding to the corner part, you can fill it with some preset colors ( For example: black, white, blue and other solid colors, transparent colors, etc.), or fill the preset image to realize the rounded display of the image corresponding to the corner part.

In practical applications, the above image processing method may be used to perform rounding processing on one or more corners in the target image, so as to realize rounded corner display of the target image.

Still taking the target image shown in 2 above as an example, the above-mentioned image processing method is used to round the corners of the four corners of the target image to obtain the rounded corner display effect shown in FIG. 5 . FIG. 5 is a schematic diagram of displaying rounded corners of a target image provided by an embodiment of the present invention.

According to the technical solution described in the embodiment of the present invention, according to the first preset fillet coefficient corresponding to any corner in the target image, the rounded corner area and corner area corresponding to the corner are determined, and each pixel in the image corresponding to the corner area The pixel value of the point determines the effective area containing effective image information in the corner area, and then according to the preset compression algorithm, the image corresponding to the effective area and the image corresponding to the rounded area are compressed into the rounded area, so that in the rounded area A rounded corner image corresponding to the corner is obtained, thereby avoiding the loss of effective image information while realizing the rounded corner display of the image, and effectively improving the display effect of the rounded corner display of the image.

Example 2

FIG. 6 is a schematic structural diagram of a mobile terminal provided by an embodiment of the present invention. The mobile terminal 600 includes: a determination module 601 and a compression module 602, wherein:

A determining module 601, configured to determine a rounded area and a corner area corresponding to any corner in the target image according to a first preset fillet coefficient corresponding to the corner;

The determining module 601 is further configured to determine an effective area in the corner area according to the pixel value of each pixel point in the image corresponding to the corner area, wherein the effective area indicates an area containing valid image information in the corner area;

The compression module 602 is configured to compress the image corresponding to the effective area and the image corresponding to the rounded area into the rounded area according to a preset compression algorithm.

Optionally, the determining module 601 further includes: a determining unit, wherein:

A determining unit, configured to determine the background color corresponding to the first area jointly formed by the rounded corner area and the corner area;

The determining unit is further configured to determine an effective area in the corner area according to the background color and the pixel value of each pixel in the image corresponding to the corner area.

Optionally, the determination unit is specifically used for:

performing region division on the first region by a region segmentation algorithm, and determining connected domains in the first region;

According to the pixel value of each pixel point in the image corresponding to the connected domain, the number of pixel points corresponding to any pixel value is counted;

The color corresponding to the pixel value with the largest number of pixels is determined as the background color.

Optionally, the determination unit is specifically used for:

According to the second preset fillet coefficient, the corner area is divided into a second area and a third area, the second preset fillet coefficient is smaller than the first preset fillet coefficient, wherein the second area includes the corner, and the third The area is the area between the second area and the rounded corner area;

Determine the pixel ratio corresponding to the background color in the second area, where the pixel ratio represents the ratio of the number of pixels corresponding to the background color to the total number of pixels in the second area;

If the pixel ratio is greater than the preset ratio threshold, increasing the second preset fillet factor by a preset value as a new second preset fillet factor until the pixel ratio is not greater than the preset ratio threshold;

If the pixel ratio is not greater than the preset ratio threshold, the third area is determined as an effective area.

The mobile terminal provided by the embodiments of the present invention can implement each process in the method embodiments shown in FIG. 1 to FIG. 5 and achieve the same technical effect. To avoid repetition, details are not repeated here.

FIG. 7 is a schematic diagram of a hardware structure of a mobile terminal implementing various embodiments of the present invention,

The mobile terminal 700 includes but not limited to: a radio frequency unit 701, a network module 702, an audio output unit 703, an input unit 704, a sensor 705, a display unit 706, a user input unit 707, an interface unit 708, a memory 709, a processor 710, and Power supply 711 and other components. Those skilled in the art can understand that the structure of the mobile terminal shown in FIG. 7 does not constitute a limitation on the mobile terminal, and the mobile terminal may include more or less components than shown in the figure, or combine some components, or different components layout. In the embodiment of the present invention, the mobile terminal includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a vehicle-mounted terminal, a wearable device, and a pedometer.

Wherein, the processor 710 is configured to determine the rounded area and the corner area corresponding to the corner according to the first preset fillet coefficient corresponding to any corner in the target image; according to each pixel in the image corresponding to the corner area The pixel value of is to determine the effective area in the corner area, wherein the effective area indicates the area containing valid image information in the corner area; according to the preset compression algorithm, the image corresponding to the effective area and the image corresponding to the rounded corner area are compressed into Rounded area.

According to the first preset fillet coefficient corresponding to any corner in the target image, determine the fillet area and corner area corresponding to the corner, and according to the pixel value of each pixel in the image corresponding to the corner area, in the corner area Determine the effective area containing effective image information, and then compress the image corresponding to the effective area and the image corresponding to the rounded area into the rounded area according to the preset compression algorithm, so that the rounded corner corresponding to the corner can be obtained in the rounded area image, thereby avoiding the loss of effective image information while realizing image rounded corner display, and effectively improving the display effect of image rounded corner display.

It should be understood that, in the embodiment of the present invention, the radio frequency unit 701 can be used to receive and send signals during sending and receiving information or during a call. Specifically, the downlink data from the base station is received and processed by the processor 710; in addition, the Uplink data is sent to the base station. Generally, the radio frequency unit 701 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 701 can also communicate with the network and other devices through a wireless communication system.

The mobile terminal provides users with wireless broadband Internet access through the network module 702, such as helping users send and receive emails, browse web pages, and access streaming media.

The audio output unit 703 may convert audio data received by the radio frequency unit 701 or the network module 702 or stored in the memory 709 into an audio signal and output as sound. Also, the audio output unit 703 can also provide audio output related to a specific function performed by the mobile terminal 700 (for example, call signal reception sound, message reception sound, etc.). The audio output unit 703 includes a speaker, a buzzer, a receiver, and the like.

The input unit 704 is used to receive audio or video signals. The input unit 704 may include a graphics processing unit (Graphics Processing Unit, GPU) 7041 and a microphone 7042, and the graphics processor 7041 is used for still pictures or video images obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. The data is processed. The processed image frames may be displayed on the display unit 706 . The image frames processed by the graphics processor 7041 may be stored in the memory 709 (or other storage media) or sent via the radio frequency unit 701 or the network module 702 . The microphone 7042 can receive sound, and can process such sound into audio data. The processed audio data can be converted into a format that can be sent to a mobile communication base station via the radio frequency unit 701 for output in the case of a phone call mode.

The mobile terminal 700 also includes at least one sensor 705, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 7061 according to the brightness of the ambient light, and the proximity sensor can turn off the display panel 7061 and the / or backlighting. As a kind of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in various directions (generally three axes), and can detect the magnitude and direction of gravity when it is still, and can be used to identify the posture of mobile terminals (such as horizontal and vertical screen switching, related games, etc.) , magnetometer posture calibration), vibration recognition-related functions (such as pedometer, knocking), etc.; the sensor 705 can also include fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, Infrared sensors, etc., will not be repeated here.

The display unit 706 is used to display information input by the user or information provided to the user. The display unit 706 may include a display panel 7061, and the display panel 7061 may be configured in the form of a liquid crystal display (Liquid Crystal Display, LCD), an organic light-emitting diode (Organic Light-Emitting Diode, OLED), or the like.

The user input unit 707 can be used to receive input numbers or character information, and generate key signal input related to user settings and function control of the mobile terminal. Specifically, the user input unit 707 includes a touch panel 7071 and other input devices 7072 . The touch panel 7071, also referred to as a touch screen, can collect touch operations of the user on or near it (for example, the user uses any suitable object or accessory such as a finger or a stylus on the touch panel 7071 or near the touch panel 7071). operate). The touch panel 7071 may include two parts, a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, and detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact coordinates, and sends it to the For the processor 710, receive the command sent by the processor 710 and execute it. In addition, the touch panel 7071 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the touch panel 7071 , the user input unit 707 may also include other input devices 7072 . Specifically, other input devices 7072 may include, but are not limited to, physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be repeated here.

Furthermore, the touch panel 7071 can be covered on the display panel 7061. When the touch panel 7071 detects a touch operation on or near it, it will be sent to the processor 710 to determine the type of the touch event. The type of event provides a corresponding visual output on the display panel 7061. Although in FIG. 7, the touch panel 7071 and the display panel 7061 are used as two independent components to realize the input and output functions of the mobile terminal, in some embodiments, the touch panel 7071 and the display panel 7061 can be integrated. The implementation of the input and output functions of the mobile terminal is not specifically limited here.

The interface unit 708 is an interface for connecting an external device to the mobile terminal 700 . For example, an external device may include a wired or wireless headset port, an external power (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device with an identification module, audio input/output (I/O) ports, video I/O ports, headphone ports, and more. The interface unit 708 can be used to receive input from an external device (for example, data information, power, etc.) transfer data between devices.

The memory 709 can be used to store software programs as well as various data. The memory 709 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application program required by a function (such as a sound playback function, an image playback function, etc.); Data created by the use of mobile phones (such as audio data, phonebook, etc.), etc. In addition, the memory 709 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices.

The processor 710 is the control center of the mobile terminal, which uses various interfaces and lines to connect various parts of the entire mobile terminal, by running or executing software programs and/or modules stored in the memory 709, and calling data stored in the memory 709 , execute various functions of the mobile terminal and process data, so as to monitor the mobile terminal as a whole. The processor 710 may include one or more processing units; preferably, the processor 710 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface and application programs, etc., and the modem The processor mainly handles wireless communication. It can be understood that the foregoing modem processor may not be integrated into the processor 710 .

The mobile terminal 700 can also include a power supply 711 (such as a battery) for supplying power to various components. Preferably, the power supply 711 can be logically connected to the processor 710 through a power management system, so as to manage charging, discharging, and power consumption through the power management system. and other functions.

In addition, the mobile terminal 700 includes some functional modules not shown, which will not be repeated here.

Preferably, the embodiment of the present invention also provides a mobile terminal, including a processor 710, a memory 709, an image processing program stored in the memory 709 and operable on the processor 710, when the image processing program is executed by the processor 710 Each process of the above embodiment of the image processing method can achieve the same technical effect, so in order to avoid repetition, details are not repeated here.

The embodiment of the present invention also provides a computer-readable storage medium. An image processing program is stored on the computer-readable storage medium. When the image processing program is executed by a processor, each process of the above-mentioned image processing method embodiment is realized, and the same To avoid repetition, the technical effects will not be repeated here. Wherein, the computer-readable storage medium is, for example, a read-only memory (Read-Only Memory, ROM for short), a random access memory (Random Access Memory, RAM for short), a magnetic disk or an optical disk, and the like.

It should be noted that, in this document, the term "comprising", "comprising" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, It also includes other elements not expressly listed, or elements inherent in the process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus comprising that element.

Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware, but in many cases the former is better implementation. Based on such an understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products are stored in a storage medium (such as ROM/RAM, disk, CD) contains several instructions to make a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) execute the methods described in various embodiments of the present invention.

Embodiments of the present invention have been described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementations, and the above-mentioned specific implementations are only illustrative, rather than restrictive, and those of ordinary skill in the art will Under the enlightenment of the present invention, without departing from the gist of the present invention and the protection scope of the claims, many forms can also be made, all of which belong to the protection of the present invention.

Claims (10)

1. A kind of 1. image processing method, it is characterised in that including：

   According to the corresponding first default fillet coefficient in any corner in target image, determine the corresponding radius area in the corner and Corner areas；

   According to the pixel value of each pixel in the corresponding image of the corner areas, effective district is determined in the corner areas Domain, wherein, the effective coverage represents the region for including effective image information in the corner areas；

   According to default compression algorithm, by the corresponding image in the effective coverage and the corresponding compression of images of the radius area to institute State radius area.
2. 2. the method as described in claim 1, it is characterised in that according to each pixel in the corresponding image of the corner areas Pixel value, determines effective coverage in the corner areas, including：

   Determine the corresponding background colour in first area that the radius area and the corner areas collectively form；

   According to the pixel value of each pixel in the background colour and the corresponding image of the corner areas, in the corner areas Determine effective coverage.
3. 3. method as claimed in claim 2, it is characterised in that determine that the radius area and the corner areas collectively form The corresponding background colour in first area, including：

   Region division is carried out to the first area by Region Segmentation Algorithm, determines the connected domain in the first area；

   According to the pixel value of each pixel in the corresponding image of the connected domain, the corresponding pixel number of statistics any pixel value Mesh；

   The corresponding color of the most pixel value of pixel number is determined as the background colour.
4. 4. method as claimed in claim 2 or claim 3, it is characterised in that corresponding according to the background colour and the corner areas The pixel value of each pixel in image, determines effective coverage in the corner areas, including：

   According to the second default fillet coefficient, the corner areas is divided into second area and the 3rd region, described second is default Fillet coefficient is less than the described first default fillet coefficient, wherein, the second area includes the corner, and the 3rd region is Region between the second area and the radius area；

   Determine the corresponding pixel ratio of background colour described in the second area, the pixel ratio is represented in the second area Described in the corresponding pixel number of background colour account for total pixel number purpose ratio；

   If the pixel ratio is more than preset ratio threshold value, the described second default fillet coefficient is increased into preset value, as new The second default fillet coefficient, until the pixel ratio is not more than the preset ratio threshold value；

   If the pixel ratio is not more than the preset ratio threshold value, the 3rd region is determined as the effective coverage.
5. A kind of 5. mobile terminal, it is characterised in that including：

   Determining module, for according to the corresponding first default fillet coefficient in any corner in target image, determining the corner pair The radius area and corner areas answered；

   The determining module, is additionally operable to the pixel value according to each pixel in the corresponding image of the corner areas, on the side Effective coverage is determined in angular zone, wherein, the effective coverage represents the area for including effective image information in the corner areas Domain；

   Compression module, for according to default compression algorithm, the corresponding image in the effective coverage and the radius area to be corresponded to Compression of images to the radius area.
6. 6. mobile terminal as claimed in claim 5, it is characterised in that the determining module further comprises：

   Determination unit, the corresponding background in first area collectively formed for determining the radius area and the corner areas Color；

   The determination unit, is additionally operable to the pixel according to each pixel in the background colour and the corresponding image of the corner areas Value, determines effective coverage in the corner areas.
7. 7. mobile terminal as claimed in claim 6, it is characterised in that the determination unit is specifically used for：

   Region division is carried out to the first area by Region Segmentation Algorithm, determines the connected domain in the first area；

   According to the pixel value of each pixel in the corresponding image of the connected domain, the corresponding pixel number of statistics any pixel value Mesh；

   The corresponding color of the most pixel value of pixel number is determined as the background colour.
8. 8. mobile terminal as claimed in claims 6 or 7, it is characterised in that the determination unit is specifically used for：

   According to the second default fillet coefficient, the corner areas is divided into second area and the 3rd region, described second is default Fillet coefficient is less than the described first default fillet coefficient, wherein, the second area includes the corner, and the 3rd region is Region between the second area and the radius area；

   Determine the corresponding pixel ratio of background colour described in the second area, the pixel ratio is represented in the second area Described in the corresponding pixel number of background colour account for total pixel number purpose ratio；

   If the pixel ratio is more than preset ratio threshold value, the described second default fillet coefficient is increased into preset value, as new The second default fillet coefficient, until the pixel ratio is not more than the preset ratio threshold value；

   If the pixel ratio is not more than the preset ratio threshold value, the 3rd region is determined as the effective coverage.
9. 9. a kind of mobile terminal, it is characterised in that including processor, memory and be stored on the memory and can be described The image processing program run on processor, realizes such as claim 1 when described image processing routine is performed by the processor The step of to image processing method any one of 4.
10. 10. a kind of computer-readable recording medium, it is characterised in that store image procossing on the computer-readable recording medium Program, realizes image processing method according to any one of claims 1 to 4 when described image processing routine is executed by processor The step of method.