CN114338956A - Image processing method, image processing apparatus, and storage medium - Google Patents
Image processing method, image processing apparatus, and storage medium Download PDFInfo
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Abstract
The present disclosure relates to an image processing method, an image processing apparatus, and a storage medium, the image processing method including: acquiring an image to be processed; and under the condition that the shooting scene of the image to be processed comprises a point light source with the brightness higher than the preset value, carrying out ghost removing processing on a ghost image area corresponding to the point light source in the image to be processed to generate a target image corresponding to the image to be processed. By the aid of the method and the device, the ghost phenomenon in the image obtained by the point light source with high shooting intensity can be effectively removed on the premise that the hardware structure is not changed, and imaging quality is improved.
Description
Technical Field
The present disclosure relates to the field of image processing technologies, and in particular, to an image processing method, an image processing apparatus, and a storage medium.
Background
With the development of science and technology, various electronic devices, such as mobile phones, tablet computers, intelligent wearable devices and the like, are increasingly popularized. The functions of electronic equipment are becoming perfect, and besides the communication function, the electronic equipment also has various other functions. For example, the electronic device is often provided with an image capture device, so that a user can use the electronic device to realize a photographing function.
When the electronic device shoots a point-like light source with high light intensity, for example, the shooting object is the sun in sunny weather, a high-brightness street lamp at night, and the like, strong light is repeatedly reflected in the lens, and a radial halo phenomenon, namely a ghost image, is formed around the light source image on the shot image, wherein the distribution of the ghost image is similar to a petal shape, and the ghost phenomenon is more obvious when the light source intensity is stronger. The imaging quality is seriously influenced by the petal-shaped ghost in the image, and the user experience is influenced.
The elimination of petal shape ghost in the picture can reduce the elimination of light reflection energy through increasing the distance between the filter disc of camera module and the image sensor. Due to the limitation of the body type design of the image acquisition device of the electronic equipment, the installation space is limited, and the problem of petal-shaped ghost is difficult to solve by changing the hardware design method.
Disclosure of Invention
To overcome the problems in the related art, the present disclosure provides an image processing method, an image processing apparatus, and a storage medium.
According to a first aspect of embodiments of the present disclosure, there is provided an image processing method including: acquiring an image to be processed; and under the condition that the shooting scene of the image to be processed comprises a point light source with the brightness higher than a preset value, carrying out ghost removing processing on a ghost image area corresponding to the point light source in the image to be processed to generate a target image corresponding to the image to be processed.
In an embodiment, before performing a ghost removing process on a ghost image area corresponding to the point light source in the image to be processed and generating a target image corresponding to the image to be processed, the image processing method includes: if the to-be-processed image is identified to comprise a first area, a second area and a third area, determining that the to-be-processed image comprises a ghost image area corresponding to the point light source; the first area is formed by first pixels of which the brightness values are greater than a first brightness value threshold, the second area is formed by second pixels of which the brightness values are greater than a second brightness value threshold and less than the first brightness value threshold, and the third area is formed by third pixels of which the brightness values are greater than a third brightness value threshold and less than the second brightness value threshold, wherein the first brightness value threshold, the second brightness value threshold and the third brightness value threshold are sequentially reduced in value.
In an embodiment, when the first region, the second region, and the third region satisfy one or a combination of the following conditions, it is determined that the to-be-processed image includes the first region, the second region, and the third region: the first area is a continuous area, the number of pixels in the first area is smaller than a proportional threshold of the sum of all the pixel numbers in the image to be processed, and the brightness value of the pixels in the first area is larger than a multiple threshold of the maximum value of the brightness values of the pixels in the non-first area; the number of the second areas is a first number, and every two of the second areas of the first number are mutually vertical; the number of the third areas is a second number, and every two third areas of the second number are mutually vertical; the second region and the third region are staggered, the area of the third region is larger than that of the second region, and an included angle between the second region and the third region is a first angle.
In an embodiment, the image processing method further comprises: determining that the pixel color of the first region is white, and determining that the pixel colors of the second region and the third region are red.
In an embodiment, the performing a ghost removing process on a ghost image area corresponding to the point light source in the image to be processed to generate a target image corresponding to the image to be processed includes: reducing the pixel saturation values of the first area and the second area to obtain an initial target image, wherein the reduced pixel saturation value is a preset proportion of the original pixel saturation value; generating a target image corresponding to the image to be processed based on the initial target image; generating a target image corresponding to the image to be processed based on the initial target image, including: if no ghost image area exists in the initial target image, taking the initial target image as a final target image; and if the initial target image has the ghost, removing the ghost in the initial target image to obtain a final target image.
In an embodiment, removing the ghosting in the initial target image to obtain a final target image includes: acquiring a first image shot by adopting a preset exposure, wherein the shooting scene of the first image is the same as that of the image to be processed, and the preset exposure is smaller than the exposure of the image to be processed during shooting; and scratching the region of the first image, which is consistent with the second region and the third region in position, and fusing the scratched region with the second region and the third region to obtain a final target image.
In one embodiment, fusing the scratched out region with the second region and the third region comprises: scratching the second area and the third area in the image to be processed to obtain a scratched image; and fusing the scratched region into the scratched image to obtain a final target image.
According to a second aspect of the embodiments of the present disclosure, there is provided an image processing apparatus including: the acquisition module is used for acquiring an image to be processed; and the processing module is used for performing ghost removing processing on a ghost image area corresponding to the point light source in the image to be processed under the condition that the shooting scene of the image to be processed comprises the point light source with the brightness higher than a preset value, and generating a target image corresponding to the image to be processed.
In one embodiment, the image processing apparatus further includes: a determination module; the determination module is to: if the to-be-processed image is identified to comprise a first area, a second area and a third area, determining that the to-be-processed image comprises a ghost image area corresponding to the point light source; the first area is formed by first pixels of which the brightness values are greater than a first brightness value threshold, the second area is formed by second pixels of which the brightness values are greater than a second brightness value threshold and less than the first brightness value threshold, and the third area is formed by third pixels of which the brightness values are greater than a third brightness value threshold and less than the second brightness value threshold, wherein the first brightness value threshold, the second brightness value threshold and the third brightness value threshold are sequentially reduced in value.
In an embodiment, the determining module determines and identifies that the image to be processed includes a first region, a second region, and a third region by one or a combination of the following methods: the first area is a continuous area, the number of pixels in the first area is smaller than a proportional threshold of the sum of all the pixel numbers in the image to be processed, and the brightness value of the pixels in the first area is larger than a multiple threshold of the maximum value of the brightness values of the pixels in the non-first area; the number of the second areas is a first number, and every two of the second areas of the first number are mutually vertical; the number of the third areas is a second number, and every two third areas of the second number are mutually vertical; the second region and the third region are staggered, the area of the third region is larger than that of the second region, and an included angle between the second region and the third region is a first angle.
In one embodiment, the determining module is further configured to: determining that the pixel color of the first region is white, and determining that the pixel colors of the second region and the third region are red.
In an embodiment, the processing module performs a ghost removing process on a ghost image area corresponding to the point light source in the image to be processed in the following manner to generate a target image corresponding to the image to be processed: reducing the pixel saturation values of the first area and the second area to obtain an initial target image, wherein the reduced pixel saturation value is a preset proportion of the original pixel saturation value; generating a target image corresponding to the image to be processed based on the initial target image; generating a target image corresponding to the image to be processed based on the initial target image, including: if no ghost image area exists in the initial target image, taking the initial target image as a final target image; and if the initial target image has the ghost, removing the ghost in the initial target image to obtain a final target image.
In an embodiment, the processing module removes a ghost image in the initial target image to obtain a final target image as follows: acquiring a first image shot by adopting a preset exposure, wherein the shooting scene of the first image is the same as that of the image to be processed, and the preset exposure is smaller than the exposure of the image to be processed during shooting; and scratching the region of the first image, which is consistent with the second region and the third region in position, and fusing the scratched region with the second region and the third region to obtain a final target image.
In an embodiment, the processing module fuses the extracted region with the second region and the third region as follows: scratching the second area and the third area in the image to be processed to obtain a scratched image; and fusing the scratched region into the scratched image to obtain a final target image.
According to still another aspect of the embodiments of the present disclosure, there is provided an image processing apparatus including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to: performing the image processing method of any of the preceding claims.
According to yet another aspect of embodiments of the present disclosure, there is provided a non-transitory computer-readable storage medium having instructions stored thereon, which, when executed by a processor of a mobile terminal, enable the mobile terminal to perform any one of the image processing methods described above.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: by the aid of the method and the device, the ghost phenomenon in the image obtained by the point light source with high shooting intensity can be effectively removed on the premise that the hardware structure is not changed, and imaging quality is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a schematic view of an application scenario of an image processing method according to an exemplary embodiment of the present disclosure.
Fig. 2 is a flowchart illustrating an image processing method according to an exemplary embodiment of the present disclosure.
Fig. 3 is a flowchart illustrating an image processing method according to an exemplary embodiment of the present disclosure.
Fig. 4 is a schematic diagram illustrating a ghost image area in an image to be processed according to an exemplary embodiment of the disclosure.
Fig. 5 is a flowchart illustrating an image processing method according to an exemplary embodiment of the present disclosure.
Fig. 6 is a flowchart illustrating an image processing method according to an exemplary embodiment of the present disclosure.
Fig. 7 is a flowchart illustrating an image processing method according to an exemplary embodiment of the present disclosure.
Fig. 8 is a block diagram illustrating an image processing apparatus according to an exemplary embodiment of the present disclosure.
Fig. 9 is a block diagram illustrating an image processing apparatus according to still another exemplary embodiment of the present disclosure.
FIG. 10 is a block diagram illustrating an apparatus in accordance with an example embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
Various electronic devices, such as mobile phones, tablet computers, smart wearable devices, and the like, are becoming more and more popular. The functions of electronic equipment are becoming perfect, and besides the communication function, the electronic equipment also has various other functions. For example, the electronic device is often provided with an image capture device, so that a user can use the electronic device to realize a photographing function.
Fig. 1 is a schematic view of an application scenario of an image processing method according to an exemplary embodiment of the present disclosure, as shown in fig. one, when an electronic device, such as a mobile phone, shoots a point-like light source with a large light intensity, for example, a shooting object is a sun in a clear weather, a high-brightness street lamp at night, and the like, strong light is repeatedly reflected in a lens, a radial halo phenomenon, i.e., a ghost, is formed around a light source image on a shot image, the distribution of the halo phenomenon is similar to a petal shape, and the stronger the light source intensity is. The imaging quality is seriously influenced by the petal-shaped ghost in the image, and the user experience is influenced.
The elimination of petal shape ghost in the picture can reduce the elimination of light reflection energy through increasing the distance between the filter disc of camera module and the image sensor. Due to the limitation of the body type design of the image acquisition device of the electronic equipment, the installation space is limited, and the problem of petal-shaped ghost is difficult to solve by changing the hardware design method.
Therefore, when an image to be processed including a point light source with high light intensity is processed, a ghost image area corresponding to the point light source in the image to be processed is subjected to ghost removing processing, and a target image without ghosts corresponding to the image to be processed is generated.
Fig. 2 is a flowchart illustrating an image processing method according to an exemplary embodiment of the present disclosure, the image processing method including the following steps, as shown in fig. 2.
In step S101, an image to be processed is acquired.
In step S102, in the case that the shooting scene of the image to be processed includes a point light source with a brightness higher than a preset value, a ghost image region corresponding to the point light source in the image to be processed is subjected to a ghost removal process, so as to generate a target image corresponding to the image to be processed.
In the embodiment of the disclosure, incident light enters through the lens of the terminal, the filter of the lens is coated with the infrared cut-off film, and most of red light is cut off by the infrared cut-off filter. A small amount of red light penetrates through a filter disc of the lens at a large angle, the red light is incident on a micro lens of the image sensor, part of the red light is received and imaged, part of the red light is reflected back to the filter disc by the micro lens, an infrared cut-off film of the filter disc reflects the red light highly, and the red light is finally reflected to the image sensor to form a ghost.
The image to be processed may be obtained by shooting at a terminal, where the image to be processed includes an image of a point light source, and the brightness of the point light source is higher than a preset brightness value, that is, a high-brightness region exists in the image to be processed including the point light source. The ghost image area corresponding to the point light source in the image to be processed can be determined through the brightness value, namely the gray scale, of the pixel in the image to be processed. For example, the image features are learned in advance through an AI image recognition algorithm, and then the shooting scene features are recognized based on the AI image recognition algorithm, and it is determined that the shooting scene includes a point light source with brightness higher than a preset value.
According to the embodiment of the disclosure, under the condition that the acquired image to be processed comprises the point light source with the brightness higher than the preset value, the ghost image removing processing is carried out on the ghost image area corresponding to the point light source, the target image corresponding to the image to be processed is generated, the ghosts in the image to be processed are effectively removed, and the image quality is improved.
Fig. 3 is a flowchart illustrating an image processing method according to an exemplary embodiment of the present disclosure, the image processing method including the following steps, as shown in fig. 3.
In step S201, an image to be processed is acquired.
In step S202, if it is recognized that the to-be-processed image includes the first region, the second region, and the third region, it is determined that the to-be-processed image includes a ghost image region corresponding to the point light source.
In step S203, in the case that the shooting scene of the image to be processed includes a point light source with brightness higher than the preset value, a ghost image region corresponding to the point light source in the image to be processed is subjected to ghost removal processing, so as to generate a target image corresponding to the image to be processed.
Fig. 4 is a schematic diagram illustrating a ghost image area in an image to be processed according to an exemplary embodiment of the present disclosure, as shown in fig. 4, in the image to be processed, an imaging area of a point light source image is a first area, a second area and a third area are alternately distributed around a periphery of the first area, in an image formed by an image acquisition device passing through an image sensor, the second area is an area parallel to a direction in which an image boundary is located, and the third area is an area forming an angle with the image boundary. The second area and the third area are formed due to the fact that strong light is reflected in the lens, the attenuation in light propagation is increased when the reflection path is longer, and therefore the first area in the image is brightest, the brightness of the second area is second, and the brightness of the third area is second.
The first area is formed by first pixels with brightness values larger than a first brightness value threshold, the second area is formed by second pixels with brightness values larger than a second brightness value threshold and smaller than the first brightness value threshold, and the third area is formed by third pixels with brightness values larger than a third brightness value threshold and smaller than the second brightness value threshold, wherein the values of the first brightness value threshold, the second brightness value threshold and the third brightness value threshold are sequentially reduced.
In the embodiment of the present disclosure, a first luminance value threshold, a second luminance value threshold, and a third luminance value threshold may be preset, where the first luminance value threshold is greater than a value of the second luminance value threshold, and the second luminance value threshold is greater than a value of the third luminance value threshold, that is, the values of the first luminance value threshold, the second luminance value threshold, and the third luminance value threshold decrease sequentially.
For example, the area to which the pixel belongs may be determined according to the brightness value of the pixel in the image to be processed, the area formed by the first pixel having the brightness value greater than the first brightness value threshold is the first area, the area formed by the second pixel having the brightness value greater than the second brightness value threshold and less than the first brightness value threshold is the second area, and the area formed by the third pixel having the brightness value greater than the third brightness value threshold and less than the second brightness value threshold is the third area.
And if the to-be-processed image is identified to comprise the first area, the second area and the third area, determining that the to-be-processed image comprises a ghost image area corresponding to the point light source. And carrying out ghost removing treatment on a ghost image area corresponding to the point light source in the image to be processed to generate a target image corresponding to the image to be processed.
According to the embodiment of the disclosure, it is recognized that the image to be processed includes a first region, a second region and a third region, the luminance of the first region is greater than that of the second region, and the luminance of the second region is greater than that of the third region, that is, it is determined that the image to be processed includes a ghost image region corresponding to the point light source. And carrying out ghost removing treatment on a ghost image area corresponding to the point light source in the image to be treated to generate a target image without ghosts corresponding to the image to be treated, thereby effectively removing ghosts in the image to be treated.
In an embodiment of the present disclosure, when the first region, the second region, and the third region satisfy one or a combination of the following conditions, it is determined that the first region, the second region, and the third region are included in the image to be processed.
The first area is a continuous area, the number of pixels included in the first area is smaller than a proportional threshold of the sum of all the pixel numbers in the image to be processed, and the brightness value of the pixels of the first area is larger than a multiple threshold of the maximum value of the brightness values of the pixels of the non-first area.
The number of the second areas is a first number, and every two of the second areas of the first number are mutually vertical.
The number of the third areas is a second number, and every two third areas of the second number are mutually vertical.
The second regions and the third regions are staggered, the area of the third regions is larger than that of the second regions, and the included angle between the adjacent second regions and the third regions is a first angle.
Referring to fig. 4, in the embodiment of the present disclosure, it is determined that the to-be-processed image includes the ghost image area corresponding to the point light source, and one or a combination of the above conditions needs to be satisfied, for example, to be able to determine the ghost image area more accurately, it may be determined that there exists a ghost image area when the above conditions are simultaneously satisfied, that is, the first area is a continuous area with high luminance, and the number of pixels included in the first area is less than a ratio threshold of a sum of all the numbers of pixels in the to-be-processed image, and the luminance value of the pixels in the first area is greater than a multiple threshold of a maximum value of the luminance values of the pixels in the non-first area. The number of the second areas is a first number, and every two of the second areas of the first number are mutually vertical. The number of the third areas is a second number, and every two third areas of the second number are mutually vertical. The second regions and the third regions are staggered, the area of the third regions is larger than that of the second regions, and the included angle between the adjacent second regions and the third regions is a first angle. It can be understood that, in the embodiments of the present disclosure, the second regions and the third regions are distributed alternately around the first region, the number of the second regions is four, and the number of the third regions is four. The four second areas are mutually perpendicular to each other, the four third areas are mutually perpendicular to each other, and the included angle between every two adjacent second areas and every two adjacent third areas is 45 degrees. That is, the first region, the second region and the third region in the image to be processed form a region similar to a Chinese character 'mi' shape or a petal shape, which appears by taking the first region as a center and by staggering the second region and the third region.
In an embodiment of the present disclosure, if it is recognized that the to-be-processed image includes the first region, the second region, and the third region, it is determined that the pixel color of the first region is white, and it is determined that the pixel colors of the second region and the third region are red, it is determined that the to-be-processed image includes a ghost image region corresponding to the point light source.
The pixel colors included in the first region, the second region and the third region may be determined according to pixel color information included in the image to be processed, and the ghost image region corresponding to the point light source included in the image to be processed may be determined according to the pixel colors of the regions.
According to the embodiment of the disclosure, the ghost image area corresponding to the point light source in the image to be processed is determined according to the area shape characteristics, the color characteristics and the like of the first area, the second area and the third area in the image to be processed. And providing support for processing a ghost image area corresponding to a point light source in the image to be processed, so that ghosts in the image to be processed are effectively removed.
Fig. 5 is a flowchart illustrating an image processing method according to an exemplary embodiment, the image processing method including the following steps, as shown in fig. 5.
In step S301, the pixel saturation values of the first region and the second region are reduced to obtain an initial target image, where the reduced pixel saturation value is a preset proportion of the original pixel saturation value.
In step S302, if no ghost image region exists in the initial target image, the initial target image is set as the final target image.
In step S303, if the initial target image has a ghost, the ghost in the initial target image is removed to obtain a final target image.
In the embodiment of the disclosure, a ghost image area including a point light source in a to-be-processed image is determined according to area shape features, color features and the like of a first area, a second area and a third area in the to-be-processed image, and pixel saturation values of the first area and the second area are reduced based on a preset proportion to obtain an initial target image. For example, the pixel saturation values of the first area and the second bright area are reduced to 80% of the pixel saturation values of the first area and the second area in the image to be processed. And after the pixel saturation values of the first area and the second area are reduced to be the numerical value of the preset proportion of the original pixel saturation values, determining the ghost image area corresponding to the point light source in the image to be processed again.
In the embodiment of the present disclosure, the initial target image does not have a ghost image region, which can be understood as that the ghost image in the image to be processed is already optimized through processing (reducing the pixel saturation values of the first region and the second region), so that the effect of not affecting image display is achieved, and therefore the initial target image can be used as the final target image. Further, the absence of the ghost image area in the initial target image in the embodiment of the present disclosure may be understood as that the first area, the second area, and the third area referred to above are not identified in the initial target image, that is, the first area, the second area, and the third area in the initial target image no longer satisfy the condition for determining the ghost image area. For example, the number of pixels included in the first region is greater than a proportional threshold of the sum of all the pixels in the image to be processed, and the luminance value of the pixel of the first region is less than a multiple threshold of the maximum value of the luminance values of the pixels of the non-first region. And/or the number of second regions perpendicular to each other two by two is smaller than the first number. And/or the number of third regions perpendicular to each other two by two is smaller than the second number. And/or the second region and the third region are not staggered any more, the area of the third region is smaller than that of the second region, and the included angle between the adjacent second region and the third region is a non-first angle.
If the determination shows that the initial target image still has the ghost image area, the ghost in the initial target image needs to be further processed to obtain the final target image.
According to the embodiment of the disclosure, the ghost image area corresponding to the point light source in the image to be processed is determined according to the area shape characteristics, the color characteristics and the like of the first area, the second area and the third area in the image to be processed. After the pixel saturation values of the first area and the second area are reduced to be the value of the preset proportion of the original pixel saturation values, if no ghost image area exists in the initial target image, the ghost image in the image to be processed is effectively removed through the reduction of the pixel saturation values of the first area and the second area, and then the initial target image is used as a final target image. If the determination shows that the initial target image still has the ghost image area, the ghost in the initial target image needs to be further processed to obtain the final target image without the ghost, and the image quality is improved.
Fig. 6 is a flowchart illustrating an image processing method according to an exemplary embodiment, the image processing method including the following steps, as shown in fig. 6.
In step S401, a first image captured with a preset exposure is obtained, where the first image and the image to be processed have the same capture scene, and the preset exposure is smaller than the exposure of the image to be processed during capture.
In step S402, a region in the first image, which is at the same position as the second region and the third region, is extracted, and the extracted region is fused with the second region and the third region, so as to obtain a final target image.
In the embodiment of the disclosure, the ghost image area corresponding to the point light source in the image to be processed is determined according to the area shape feature, the color feature and the like of the first area, the second area and the third area in the image to be processed. If it is determined that the initial target image with the reduced pixel saturation value still has a ghost image region, the ghost in the initial target image needs to be further processed. The first image can be shot by adopting a preset exposure and the same shooting scene with the image to be processed, the preset exposure is smaller than the exposure when the image to be processed is shot, when the preset exposure is selected to be a low value, the first image shot under the preset exposure is a darker image corresponding to the image to be processed, the incident light intensity entering the terminal lens is low, and correspondingly, the brightness of an area in the first image, which is consistent with the positions of the second area and the third area, is low. It can be understood that the ghost image area in the first image, that is, the second area and the third area in the corresponding image to be processed, because the image exposure is low, the influence of the ghost image in the second area and the third area in the corresponding image to be processed can be ignored.
For example, the contour of a region in the first image, which is consistent with the positions in the second region and the third region, is determined through an image algorithm, the region in which the positions are consistent with the positions in the second region and the third region is subjected to matting, the scratched region is fused with the second region and the third region in the image to be processed, and the processed image is taken as a background to obtain a final target image.
According to the embodiment of the disclosure, the region which is consistent with the position in the second region and the third region in the first image is scratched by acquiring the first image which is the same as the shooting scene of the image to be processed and has the exposure degree smaller than that of the first image shot by the image to be processed, and the scratched region is fused with the second region and the third region to obtain the final target image. The ghost image area in the image to be processed is processed by fusing the image characteristics of the ghost area in the image to be processed, so that the effect of removing the ghost is more natural and vivid.
Fig. 7 is a flowchart illustrating an image processing method according to an exemplary embodiment, the image processing method including the following steps, as shown in fig. 7.
In step S501, a second region and a third region in the image to be processed are scratched to obtain a scratched image.
In step S502, the extracted region is fused to the extracted image to obtain a final target image.
In the embodiment of the disclosure, the ghost image area corresponding to the point light source in the image to be processed is determined according to the area shape feature, the color feature and the like of the first area, the second area and the third area in the image to be processed. If it is determined that the initial target image with the reduced pixel saturation value still has a ghost image region, the ghost in the initial target image needs to be further processed. The exposure degree is preset, the first image is shot by adopting the same shooting scene with the image to be processed, the exposure degree is smaller than that of the image to be processed during shooting, when the preset exposure degree is selected to be a low value, the first image shot under the preset exposure degree can be understood as a ghost image area in the first image, namely, the ghost image area corresponds to the second area and the third area in the image to be processed, and due to the fact that the image exposure degree is low, influences of ghosts in the second area and the third area in the image to be processed can be ignored.
The outline of the region in the first image, which is consistent with the positions in the second region and the third region, can be determined through an image algorithm, the region in which the positions are consistent with the positions in the second region and the third region is subjected to image matting, the second region and the third region in the image to be processed are scratched, and the scratched image is obtained. And taking the image to be processed as a background, and fusing the scratched region with the scratched second region and the scratched third region in the image to be processed to obtain a final target image.
According to the embodiment of the disclosure, the ghost area in the image to be processed is removed, and the image without the ghost in the area is fused with the image to be processed to obtain the final target image, so that the ghost in the image is effectively removed, and the image processing quality is improved.
Based on the same conception, the embodiment of the disclosure also provides an image processing device.
It is understood that the image processing apparatus provided by the embodiments of the present disclosure includes a hardware structure and/or a software module for performing each function in order to realize the above functions. The disclosed embodiments can be implemented in hardware or a combination of hardware and computer software, in combination with the exemplary elements and algorithm steps disclosed in the disclosed embodiments. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
Fig. 8 is a block diagram illustrating an image processing apparatus according to an exemplary embodiment. Referring to fig. 8, the image processing apparatus 100 includes an acquisition module 101 and a processing module 102.
The acquiring module 101 is configured to acquire an image to be processed.
The processing module 102 is configured to, under the condition that a shooting scene of the image to be processed includes a point light source with brightness higher than a preset value, perform ghost removing processing on a ghost image area corresponding to the point light source in the image to be processed, and generate a target image corresponding to the image to be processed.
Fig. 9 is a block diagram illustrating an image processing apparatus according to an exemplary embodiment. Referring to fig. 9, the image processing apparatus 100 further includes a determination module 103.
The determination module 103 is configured to: if the to-be-processed image is identified to comprise the first area, the second area and the third area, determining that the to-be-processed image comprises a ghost image area corresponding to the point light source; the first area is formed by first pixels with brightness values larger than a first brightness value threshold, the second area is formed by second pixels with brightness values larger than a second brightness value threshold and smaller than the first brightness value threshold, and the third area is formed by third pixels with brightness values larger than a third brightness value threshold and smaller than the second brightness value threshold, wherein the first brightness value threshold, the second brightness value threshold and the third brightness value threshold are sequentially reduced in value.
In an embodiment, the determining module 103 determines that the to-be-processed image includes the first region, the second region, and the third region, by using one or a combination of the following manners: the first area is a continuous area, the number of pixels in the first area is smaller than a proportional threshold of the sum of all the pixel numbers in the image to be processed, and the brightness value of the pixels in the first area is larger than a multiple threshold of the maximum value of the brightness values of the pixels in the non-first area; the number of the second areas is a first number, and every two of the second areas of the first number are mutually vertical; the number of the third areas is a second number, and every two third areas of the second number are mutually vertical; the second regions and the third regions are staggered, the area of the third regions is larger than that of the second regions, and the included angle between the adjacent second regions and the third regions is a first angle.
In an embodiment, the determining module 103 is further configured to: the pixel color of the first region is determined to be white, and the pixel colors of the second region and the third region are determined to be red.
In an embodiment, the processing module 102 performs a ghost removing process on a ghost image area corresponding to a point light source in the image to be processed in the following manner, so as to generate a target image corresponding to the image to be processed: reducing the pixel saturation values of the first area and the second area to obtain an initial target image, wherein the reduced pixel saturation value is a preset proportion of the original pixel saturation value; generating a target image corresponding to the image to be processed based on the initial target image; generating a target image corresponding to the image to be processed based on the initial target image, including: if no ghost image area exists in the initial target image, taking the initial target image as a final target image; and if the initial target image has the ghost, removing the ghost in the initial target image to obtain the final target image.
In an embodiment, the processing module 102 removes the ghosting image in the initial target image to obtain the final target image as follows: acquiring a first image shot by adopting a preset exposure, wherein the shooting scene of the first image is the same as that of the image to be processed, and the preset exposure is smaller than the exposure of the image to be processed during shooting; and (3) digging out the region with the position consistent with the second region and the third region in the first image, and fusing the dug-out region with the second region and the third region to obtain a final target image.
In one embodiment, the processing module 102 fuses the extracted region with the second region and the third region as follows: scratching a second area and a third area in the image to be processed to obtain a scratched image; and fusing the scratched region into the scratched image to obtain a final target image.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 10 is a block diagram illustrating an apparatus 800 for image processing according to an example embodiment. For example, the apparatus 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.
Referring to fig. 10, the apparatus 800 may include one or more of the following components: a processing component 802, a memory 804, a power component 806, a multimedia component 808, an audio component 810, an input/output (I/O) interface 812, a sensor component 814, and a communications component 816.
The processing component 802 generally controls overall operation of the device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interaction between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.
The memory 804 is configured to store various types of data to support operations at the apparatus 800. Examples of such data include instructions for any application or method operating on device 800, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 804 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The multimedia component 808 includes a screen that provides an output interface between the device 800 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 800 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the apparatus 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.
The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 814 includes one or more sensors for providing various aspects of state assessment for the device 800. For example, the sensor assembly 814 may detect the open/closed status of the device 800, the relative positioning of components, such as a display and keypad of the device 800, the sensor assembly 814 may also detect a change in the position of the device 800 or a component of the device 800, the presence or absence of user contact with the device 800, the orientation or acceleration/deceleration of the device 800, and a change in the temperature of the device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 816 is configured to facilitate communications between the apparatus 800 and other devices in a wired or wireless manner. The device 800 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer-readable storage medium comprising instructions, such as the memory 804 comprising instructions, executable by the processor 820 of the device 800 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
It is understood that "a plurality" in this disclosure means two or more, and other words are analogous. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. The singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It will be further understood that the terms "first," "second," and the like are used to describe various information and that such information should not be limited by these terms. These terms are only used to distinguish one type of information from another and do not denote a particular order or importance. Indeed, the terms "first," "second," and the like are fully interchangeable. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure.
It will be further understood that, unless otherwise specified, "connected" includes direct connections between the two without the presence of other elements, as well as indirect connections between the two with the presence of other elements.
It is further to be understood that while operations are depicted in the drawings in a particular order, this is not to be understood as requiring that such operations be performed in the particular order shown or in serial order, or that all illustrated operations be performed, to achieve desirable results. In certain environments, multitasking and parallel processing may be advantageous.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (16)
1. An image processing method, characterized in that the image processing method comprises:
acquiring an image to be processed;
and under the condition that the shooting scene of the image to be processed comprises a point light source with the brightness higher than a preset value, carrying out ghost removing processing on a ghost image area corresponding to the point light source in the image to be processed to generate a target image corresponding to the image to be processed.
2. The image processing method according to claim 1, wherein before performing a ghost removing process on a ghost image area corresponding to the point light source in the image to be processed and generating a target image corresponding to the image to be processed, the method includes:
if the to-be-processed image is identified to comprise a first area, a second area and a third area, determining that the to-be-processed image comprises a ghost image area corresponding to the point light source;
the first area is formed by first pixels of which the brightness values are greater than a first brightness value threshold, the second area is formed by second pixels of which the brightness values are greater than a second brightness value threshold and less than the first brightness value threshold, and the third area is formed by third pixels of which the brightness values are greater than a third brightness value threshold and less than the second brightness value threshold, wherein the first brightness value threshold, the second brightness value threshold and the third brightness value threshold are sequentially reduced in value.
3. The image processing method according to claim 2, wherein it is determined that the first region, the second region, and the third region are included in the image to be processed when the first region, the second region, and the third region satisfy one of or a combination of the following conditions:
the first area is a continuous area, the number of pixels in the first area is smaller than a proportional threshold of the sum of all the pixel numbers in the image to be processed, and the brightness value of the pixels in the first area is larger than a multiple threshold of the maximum value of the brightness values of the pixels in the non-first area;
the number of the second areas is a first number, and every two of the second areas of the first number are mutually vertical;
the number of the third areas is a second number, and every two third areas of the second number are mutually vertical;
the second region and the third region are staggered, the area of the third region is larger than that of the second region, and an included angle between the second region and the third region is a first angle.
4. The image processing method according to claim 2 or 3, characterized in that the method further comprises:
determining that the pixel color of the first region is white, and determining that the pixel colors of the second region and the third region are red.
5. The image processing method according to claim 4, wherein the performing a ghost removing process on a ghost image area corresponding to the point light source in the image to be processed to generate a target image corresponding to the image to be processed includes:
reducing the pixel saturation values of the first area and the second area to obtain an initial target image, wherein the reduced pixel saturation value is a preset proportion of the original pixel saturation value;
generating a target image corresponding to the image to be processed based on the initial target image;
generating a target image corresponding to the image to be processed based on the initial target image, including:
if no ghost image area exists in the initial target image, taking the initial target image as a final target image;
and if the initial target image has the ghost, removing the ghost in the initial target image to obtain a final target image.
6. The image processing method of claim 5, wherein removing ghosting in the initial target image to obtain a final target image comprises:
acquiring a first image shot by adopting a preset exposure, wherein the shooting scene of the first image is the same as that of the image to be processed, and the preset exposure is smaller than the exposure of the image to be processed during shooting;
and scratching the region of the first image, which is consistent with the second region and the third region in position, and fusing the scratched region with the second region and the third region to obtain a final target image.
7. The image processing method according to claim 6, wherein fusing the scratched out region with the second region and the third region comprises:
scratching the second area and the third area in the image to be processed to obtain a scratched image;
and fusing the scratched region into the scratched image to obtain a final target image.
8. An image processing apparatus characterized by comprising:
the acquisition module is used for acquiring an image to be processed;
and the processing module is used for performing ghost removing processing on a ghost image area corresponding to the point light source in the image to be processed under the condition that the shooting scene of the image to be processed comprises the point light source with the brightness higher than a preset value, and generating a target image corresponding to the image to be processed.
9. The image processing apparatus according to claim 8, characterized by further comprising: a determination module;
the determination module is to: if the to-be-processed image is identified to comprise a first area, a second area and a third area, determining that the to-be-processed image comprises a ghost image area corresponding to the point light source;
the first area is formed by first pixels of which the brightness values are greater than a first brightness value threshold, the second area is formed by second pixels of which the brightness values are greater than a second brightness value threshold and less than the first brightness value threshold, and the third area is formed by third pixels of which the brightness values are greater than a third brightness value threshold and less than the second brightness value threshold, wherein the first brightness value threshold, the second brightness value threshold and the third brightness value threshold are sequentially reduced in value.
10. The image processing apparatus according to claim 9, wherein the determining module determines that the to-be-processed image includes the first region, the second region, and the third region, in one or a combination of the following manners:
the first area is a continuous area, the number of pixels in the first area is smaller than a proportional threshold of the sum of all the pixel numbers in the image to be processed, and the brightness value of the pixels in the first area is larger than a multiple threshold of the maximum value of the brightness values of the pixels in the non-first area;
the number of the second areas is a first number, and every two of the second areas of the first number are mutually vertical;
the number of the third areas is a second number, and every two third areas of the second number are mutually vertical;
the second region and the third region are staggered, the area of the third region is larger than that of the second region, and an included angle between the second region and the third region is a first angle.
11. The image processing apparatus according to claim 9 or 10, wherein the determining module is further configured to:
determining that the pixel color of the first region is white, and determining that the pixel colors of the second region and the third region are red.
12. The image processing apparatus according to claim 11, wherein the processing module performs a ghost removing process on a ghost image area corresponding to the point light source in the image to be processed to generate a target image corresponding to the image to be processed, as follows:
reducing the pixel saturation values of the first area and the second area to obtain an initial target image, wherein the reduced pixel saturation value is a preset proportion of the original pixel saturation value;
generating a target image corresponding to the image to be processed based on the initial target image;
generating a target image corresponding to the image to be processed based on the initial target image, including:
if no ghost image area exists in the initial target image, taking the initial target image as a final target image;
and if the initial target image has the ghost, removing the ghost in the initial target image to obtain a final target image.
13. The image processing apparatus according to claim 12, wherein the processing module removes ghosting in the initial target image to obtain a final target image by:
acquiring a first image shot by adopting a preset exposure, wherein the shooting scene of the first image is the same as that of the image to be processed, and the preset exposure is smaller than the exposure of the image to be processed during shooting;
and scratching the region of the first image, which is consistent with the second region and the third region in position, and fusing the scratched region with the second region and the third region to obtain a final target image.
14. The image processing apparatus of claim 13, wherein the processing module fuses the matted regions with the second region and the third region as follows:
scratching the second area and the third area in the image to be processed to obtain a scratched image;
and fusing the scratched region into the scratched image to obtain a final target image.
15. An image processing apparatus characterized by comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to: performing the image processing method of any one of claims 1 to 7.
16. A non-transitory computer-readable storage medium having instructions therein, which when executed by a processor of a mobile terminal, enable the mobile terminal to perform the image processing method of any one of claims 1 to 7.
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