CN111726596A - Image processing method and electronic device thereof - Google Patents

Image processing method and electronic device thereof Download PDF

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Publication number
CN111726596A
CN111726596A CN201910204456.2A CN201910204456A CN111726596A CN 111726596 A CN111726596 A CN 111726596A CN 201910204456 A CN201910204456 A CN 201910204456A CN 111726596 A CN111726596 A CN 111726596A
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color saturation
color
target pixel
image
frame
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CN111726596B (en
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萧晶如
黄文聪
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Realtek Semiconductor Corp
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Realtek Semiconductor Corp
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00Details of colour television systems
    • H04N9/64Circuits for processing colour signals
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00Details of colour television systems
    • H04N9/77Circuits for processing the brightness signal and the chrominance signal relative to each other, e.g. adjusting the phase of the brightness signal relative to the colour signal, correcting differential gain or differential phase

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Abstract

An image processing method and an electronic device thereof are disclosed. The image processing method comprises the steps of carrying out a color processing program on each target pixel and correspondingly obtaining a plurality of first processing pixels. The color processing program comprises the steps of determining that each target pixel is located in a low color saturation area, a middle color saturation area or a high color saturation area according to the color saturation of each target pixel and a color partition parameter; the method comprises the steps of suppressing a target pixel located in a low color saturation area to suppress the color saturation of the target pixel into a gray scale, suppressing a target pixel located in a middle color saturation area to perform progressive processing, suppressing the color saturation of the target pixel according to a suppression multiplying factor, and maintaining the original color saturation of the target pixel located in a high color saturation area.

Description

Image processing method and electronic device thereof
Technical Field
The present invention relates to digital image processing technology, and more particularly, to an image processing method and an electronic device thereof capable of suppressing color noise.
Background
An Image Signal Processor (ISP) used in an Image capturing electronic device is widely applied to various products, such as a digital camera, a smart phone, a computer camera, a monitoring system …, etc. In order to reduce color noise (color noise) in the image, the image signal processor reduces the color saturation of some regions in the image, for example, the region with lower color saturation calculated by RGB three primary colors, reduces the coefficient value of the U/V signal of the color component of the pixel in the region; or the U/V value of the color component of the pixel in the high brightness area is reduced by a certain proportion. These methods may cause the color saturation of the image not belonging to the color noise to be reduced, which affects the visual perception of human eyes.
On the other hand, due to the characteristics of the photosensitive element, when the image has a high light overflow, a chromatic aberration (chromatic aberration) phenomenon occurs around the pixel through which the high-brightness light passes, and a false color (false color) such as a purple edge (purple fringing) is often formed around the window edge or the high-brightness light source, and is easily perceived by human eyes.
Disclosure of Invention
As described above, the prior art discloses that the suppression of the U/V value of the color component can reduce the color noise, but also reduce the saturation of other colors in the image, resulting in the degradation of the image quality.
In view of the above, an image processing method is provided, which is suitable for processing an image, the image having a plurality of target pixels, each target pixel having a color saturation, the image processing method including performing a color processing procedure on each pixel and obtaining a plurality of first processed pixels, wherein the color processing procedure includes: determining that each target pixel is located in a low color saturation area, a middle color saturation area or a high color saturation area according to the color saturation of each target pixel, then performing inhibition processing on the target pixels located in the low color saturation area to inhibit the color saturation of the target pixels into a gray scale, performing inhibition progressive processing on the target pixels located in the middle color saturation area to inhibit the color saturation of the target pixels according to an inhibition magnification, and maintaining the color saturation of the target pixels located in the high color saturation area; and outputting all the first processed pixels.
The present disclosure further provides an electronic device including an image capturing unit and an image signal processor. The image capturing unit obtains a plurality of target pixels of an image and transmits the target pixels to the image signal processor, and the image signal processor performs a color processing procedure on each target pixel and correspondingly obtains a plurality of first processing pixels and then outputs the first processing pixels. Wherein the color processing program comprises: the image signal processor determines that the target pixel is located in a low color saturation area, a middle color saturation area or a high color saturation area according to the color saturation of each target pixel, and the image signal processor performs suppression processing on the target pixel located in the low color saturation area to suppress the color saturation of the target pixel into a gray scale, performs suppression progressive processing on the target pixel located in the middle color saturation area to suppress the color saturation of the target pixel according to a suppression multiplying factor, or maintains the color saturation of the target pixel located in the high color saturation area.
According to some embodiments, the color partition parameter includes a U/V color plane, a first frame and a second frame, the first frame and the second frame are located on the U/V color plane and the second frame is located on the periphery of the first frame, the coordinate center of the U/V color plane is located inside the first frame, the low color saturation region is located inside the first frame, the medium color saturation region is located between the first frame and the second frame, and the high color saturation region is located on the periphery of the second frame.
According to some embodiments, the suppression factor is proportional to the distance between the target pixel and the coordinate center.
According to some embodiments, after the first processing pixels are output, whether each first processing pixel is located in a blooming region is further determined according to a blooming judging procedure, when the first processing pixel is located in the blooming region, a second color processing procedure is performed, and a plurality of second processing pixels are correspondingly obtained, so as to perform color suppression on the blooming of the local overexposure.
According to some embodiments, the blooming determining process includes determining that the first processing pixel is located in a blooming region of the image and determining that the first processing pixel is located in an edge region of the image, i.e., determining that the first processing pixel is located in the blooming region, and performing the color processing process for a second time.
In summary, according to some embodiments, the present invention performs the suppression in the appropriate range on the U/V color plane, and has a gradual adjustment design to avoid the color discontinuity, so as to effectively maintain the natural color of the image.
Drawings
Fig. 1 is a block diagram illustrating an electronic device according to an embodiment of the disclosure.
Fig. 2 is a flowchart of an image processing method according to an embodiment of the disclosure.
Fig. 3 is a flowchart of a color processing procedure according to an embodiment of the disclosure.
FIG. 4 is a color diagram of color partition parameters according to an embodiment of the disclosure.
FIG. 5 is a color diagram of color partition parameters according to another embodiment of the present disclosure.
Fig. 6 is a flow chart of high brightness color suppression according to an embodiment of the present disclosure.
FIG. 7 is a color diagram of color gamut parameters according to an embodiment of the present disclosure.
Description of the symbols:
10 electronic device
12 image capturing unit
14 image signal processor
16 display unit
20U/V color plane
21 first frame
22 second frame
23. 23' Low color saturation region
24. Color saturation region in 24
25. 25' high color saturation region
Center of coordinate A
S10-S14 steps
S111 to S116
S121 to S122
Detailed Description
The image processing method is used for an electronic device with an image processing function, and an image signal processor is used for carrying out suppression processing on an image. Each image is composed of a plurality of pixels, at least part or all of the plurality of pixels can be used as target pixels, so that the target pixels in the image are processed when the color noise suppression processing is carried out on the image.
Fig. 1 is a block diagram of an electronic device according to an embodiment of the disclosure, and referring to fig. 1, an electronic device 10 includes an image capturing unit 12, an image signal processor 14, and a display unit 16. The image capturing unit 12 captures at least one image and environment parameters such as scene brightness of the image from the outside. In some embodiments, the image capturing unit 12 is an image sensing Device such as a Charge Coupled Device (CCD) or a Complementary Metal-Oxide-Semiconductor (CMOS). The image signal processing unit 14 is electrically connected to the image capturing unit 12 and the display unit 16, the image capturing unit 12 transmits a plurality of target pixels of the acquired image to the image signal processor 14, the image signal processor 14 receives the image and performs image processing on all the target pixels in the image, the processed target pixels are output to the display unit 16, and the display unit 16 displays the processed image.
Fig. 2 is a flowchart of an image processing method according to an embodiment of the disclosure. Referring to fig. 1 and fig. 2, in step S10, the image capturing unit 12 captures an image of a scene to obtain an image having a plurality of target pixels, each of the target pixels having a color saturation, wherein the color saturation includes color components of a U value and a V value.
In step S11, the video signal processor 14 performs a color processing procedure on each target pixel to perform global color suppression, and correspondingly obtains a plurality of first processed pixel outputs to suppress color noise in the image by using the color processing procedure.
Next, in step S12, according to a blooming judging procedure, the video signal processor 14 determines whether each first processing pixel is located in a blooming region, if the first processing pixel is located in the blooming region, the first processing pixel is subjected to a second color processing procedure in step S13 to perform high-luminance color suppression and obtain a plurality of second processing pixels, and if the first processing pixel is not located in the blooming region, the step S14 is directly performed.
In step S14, the video signal processor 14 outputs the second processed pixel after completing the second color processing procedure or the first processed pixel only needing to go through the first color processing procedure to the display unit 16 for displaying.
In some embodiments, the global color suppression of step S11 and the highlight color suppression of step S13 are performed by the same color processing procedure.
Referring to fig. 1 to 3, in the color processing procedure of step S11, the video signal processor 14 determines whether each target pixel is located in a low color saturation region, a middle color saturation region or a high color saturation region according to the color saturation and a color partition parameter of the target pixel, and the detailed color processing procedure is as shown in fig. 3.
In some embodiments, as shown in fig. 4, in the global color suppression, the color of each target pixel in the image is suppressed in the U/V color plane, the closer to the coordinate center a, the lower the color saturation, representing a gray-scale color, and the farther from the coordinate center a, the higher the color saturation, representing different colors according to different quadrants. It should be noted that, in fig. 4, 5 and 7, the color distribution of the U/V color plane is magenta in the first quadrant, orange in the second quadrant, green in the third quadrant and blue in the fourth quadrant. Therefore, the color partition parameters used in the present application include a U/V color plane 20, a first frame 21 and a second frame 22, the first frame 21 and the second frame 22 are located on the U/V color plane 20, the second frame 22 is located at the periphery of the first frame 21, the coordinate center a of the U/V color plane 20 is located in the first frame 21, the color saturation is divided into three ranges according to the functions of the first frame 21 and the second frame 22, the low color saturation region 23 is located in the first frame 21 and covers the coordinate center a of the U/V color plane 20, the low color saturation region 23 represents a suppression range (gray region), the region between the first frame 21 and the second frame 22 is a middle color saturation region 24, the middle color saturation region 24 represents a suppression progressive range, and the region outside the second frame 22 is a high color saturation region 25.
Referring to fig. 1 to 4, in the color processing procedure of step S11, when the video signal processor 14 determines the position of each target pixel according to the color saturation and the color distinguishing parameter of each target pixel, first in step S111, the video signal processor 14 determines whether the target pixel is located in the low color saturation region 23 of the U/V color plane 20 according to the known color saturation and the color distinguishing parameter of the target pixel, and if the target pixel is located in the low color saturation region 23, in step S112, the video signal processor 14 performs a suppression process on the target pixel to suppress the color saturation of the target pixel to a gray level, and in one embodiment, suppressing the color saturation to a gray level means suppressing the U/V value of the color component to (128 ). If the target pixel is not located in the low color saturation region 23, the process proceeds to step S113. In step S113, the video signal processor 14 determines whether the target pixel is located in the middle color saturation region 24, and if the target pixel is located in the middle color saturation region 24 of the U/V color plane 20, in step S114, the video signal processor 14 performs a suppression progressive processing on the target pixel to suppress the color saturation of the target pixel according to a suppression factor. If the target pixel is not located in the middle color saturation region 24, it indicates that the target pixel is located in the high color saturation region 25 of the U/V color plane 20, in step S115, the target pixel located in the high color saturation region 25 is not affected, and the original color saturation is maintained. After completing step S112, step S114 or step S115, the target pixel is the first processed pixel that has been processed, and the video signal processor 14 continues with step S116 to output the first processed pixel.
In some embodiments, the first frame 21 of the color differentiation parameter and the low color saturation region 23 (suppression range) therein are a movable gray rectangular region, and it is necessary to ensure that the position of the coordinate center a is covered, which is a rectangle as an example and should not be taken as a limitation. In different applications or according to the user's preference, the size of the rectangular area can be flexibly adjusted and the rectangular area can be moved to cover the color to be suppressed. Referring to fig. 4 and 5, in an embodiment, if there is a human in the image, in order to ensure the skin color of the human face, the positions of the first frame 21 and the second frame 22 may be adjusted to make the coverage area of the low color saturation area 23 in the second quadrant (i.e. the quadrant where the skin color is located) smaller, such as the low color saturation area 23 ' shown in fig. 5, and of course, the coverage areas of the medium color saturation area 24 ' and the high color saturation area 25 ' are also adjusted accordingly, so as to provide a new color distinguishing parameter used in the color processing procedure, thereby achieving the effect of protecting the skin color of the human face and simultaneously having the effect of color noise suppression.
In some embodiments, in the color differentiation parameters, the intermediate color saturation region 24 between the first frame 21 and the second frame 22 is designed to suppress the gradual range in order to avoid color discontinuity of the suppressed image, as shown in fig. 1 and 4, in the intermediate color saturation region 24, since the suppression magnification is proportional to the distance between the target pixel and the coordinate center a, in step S114, the video signal processor 14 adjusts the suppression magnification according to the distance between the target pixel and the coordinate center a, and performs the gradual suppression processing according to the following equation:
Cout=(Cin-128)*supp_rate+128
wherein, CinColor saturation, C, input for target pixeloutThe color saturation of the suppressed output of the target pixel, and the supp _ rate is the suppression magnification. The suppression ratio may be calculated by interpolation (interpolation) or filtering (filter), but not limited thereto.
In one embodiment, the range of the low color saturation region (suppression range) 23 located in the first frame 21 and the range of the middle color saturation region (suppression progressive range) 24 located between the first frame 21 and the second frame 22 are determined according to the scene brightness of the image obtained by the image capturing unit 12, and the scene brightness can be derived from, but not limited to, firmware controlled auto-exposure, that is, the size of the first frame 21 and the second frame 22 is inversely proportional to the scene brightness of the image obtained, and the smaller the first frame 21 and the second frame 22 is, the smaller the low color saturation region 23 and the middle color saturation region 24 is, the less or no color noise suppression is performed; when the scene brightness is lower, the larger the first frame 21 and the second frame 22 are, the larger the low color saturation region 23 and the middle color saturation region 24 are, indicating that more color noise suppression is performed.
After finishing the color processing procedure for all the target pixels in step S11 of fig. 2 (e.g., steps S111 to S115), to solve the color difference (chromatic aberration) phenomenon generated at the edge of the high-luminance object, it is determined whether each first processing pixel is located in the blooming region in step S12, as shown in fig. 1, 2 and 6, in the step of determining whether each first processing pixel is located in the blooming region according to the blooming determining procedure, the blooming determining procedure is as shown in step S121 and step S122, the video signal processor 14 first determines whether the first processing pixel is located in the blooming region in the video, if so, then determines whether the first processing pixel is located in the edge region in the video, and when both conditions of the two steps are satisfied, it is determined that the first processing pixel is located in the blooming region, the blooming color suppression is required, in step S13, a second color processing procedure is performed on the first processed pixel in the blooming region to perform color suppression on the local overexposed blooming pixel, and the color processing procedure is as shown in steps S111 to S115 in fig. 3, and steps S111 to S115 are repeated with the first processed pixel as the target pixel, and the details thereof are described above, and thus are not repeated herein. In one embodiment, the video signal processor 14 uses the absolute brightness values of the target pixel and its neighboring pixels as the threshold of the high brightness condition, and calculates the gradient value of the target pixel to detect whether the target pixel is located in the edge region.
Referring to fig. 7, in an embodiment of the color processing procedure, as shown in fig. 7, in the U/V color plane 20, the coordinate center a is located at (128 ), assuming that the suppression range in the low color saturation region 23 is set to 4 and the suppression progressive range in the medium color saturation region 24 is set to 5, the coordinates of four endpoints B (132), C (124,132), D (124 ), E (132,124) define the color distinguishing parametersThe position and size of the first frame 21, and the four end point coordinates F (137 ), G (119,137), H (119), and I (137,119) define the position and size of the second frame 22. Thus, a target pixel having a color component U, V value within (128-4) to (128+4) will be suppressed to grayscale 128; the target pixels outside (128-9) to (128+9) will maintain the original color component, and if the target pixels are in the intermediate range (i.e. the inhibition progressive range) between the first frame 21 and the second frame 22, the inhibition magnification is calculated proportionally, and then the new color component U, V value is calculated by using the above equation. For example, the color saturation (U, V) ═ 131,128 of the target pixel indicates that the target pixel is located in the low color saturation region 23, and the target pixel is suppressed to (128 ) and becomes gray scale. When the color saturation (U, V) of the target pixel is (134,128), which means that the target pixel is located in the middle color saturation region 24, the suppression ratio supp _ rate |134 |/(4+5) | 0.667 is calculated first, and then the calculation is performed by fitting the calculation into the above equation, CoutSince (134) -128 × 0.667+128 ≈ 132, the color saturation of the target pixel is gradually suppressed from the original color saturation (134,128) to (132,128), which is lower than the original color saturation. When the color saturation (U, V) of the target pixel is (140,128), indicating that the target pixel is located in the high color saturation region 25 (outside the second frame 22), the color saturation of the target pixel maintains the same (140,128) output, and the color remains unchanged. The suppression range is set to 4 and the suppression progressive range is set to 5, but this is only an example, and the suppression range and the suppression progressive range may be adjusted to any values as appropriate, when the present invention is not limited thereto.
Therefore, the scheme can inhibit the U/V color plane in a proper range, and has an adjustment design for inhibiting the gradual range to avoid the color discontinuity phenomenon and keep the natural color presentation of the image. Under the low light environment, the color noise can be reduced, and the saturation of the human face skin color is kept unchanged. When the image has the phenomenon of highlight overflow, the color saturation of false color can be reduced through the color suppression of the scheme. Therefore, the scheme can effectively inhibit the color noise in the image and maintain the image quality.
The above-described embodiments are merely illustrative of the technical spirit and features of the present invention, and the purpose thereof is to enable those skilled in the art to understand the content of the present invention and to implement the same, so that the scope of the present invention should not be limited by the above-described embodiments, and that all equivalent changes and modifications made in the spirit of the present invention should be covered by the scope of the present invention.

Claims (10)

1. An image processing method is suitable for processing an image, the image has a plurality of target pixels, each target pixel has a color saturation, the image processing method comprises:
performing a color processing procedure on each target pixel, and correspondingly obtaining a plurality of first processing pixels, wherein the color processing procedure comprises the following steps:
determining that each target pixel is located in a low color saturation region, a middle color saturation region or a high color saturation region according to the color saturation and a color partition parameter of each target pixel;
performing suppression processing on the target pixel in the low color saturation area to suppress the color saturation of the target pixel into a gray scale;
performing inhibition progressive processing on the target pixel in the middle color saturation area so as to inhibit the color saturation of the target pixel according to an inhibition magnification; and
maintaining the color saturation of the target pixel in the high color saturation region; and
and outputting the first processing pixels.
2. The image processing method of claim 1, wherein the color partition parameter comprises a U/V color plane, a first frame and a second frame, the first frame and the second frame are located on the U/V color plane and the second frame is located at the periphery of the first frame, the coordinate center of the U/V color plane is located inside the first frame, the low color saturation region is located inside the first frame, the middle color saturation region is located between the first frame and the second frame, and the high color saturation region is located at the periphery of the second frame.
3. The image processing method as claimed in claim 2, wherein the suppression factor is proportional to a distance between the target pixel and the coordinate center.
4. The image processing method as claimed in claim 3, wherein the suppressing progression processing is performed on the target pixel located in the middle color saturation region by the following equation:
Cout=(Cin-128)*supp_rate+128
wherein C isinThe color saturation, C, input for the target pixeloutThe supp _ rate is the color saturation output after the target pixel is suppressed, and is the suppression magnification.
5. The image processing method of claim 1, wherein after the step of outputting the first processed pixels, the method further comprises determining whether each of the first processed pixels is located in a blooming region according to a blooming determination procedure, and performing the color processing procedure for a second time when the first processed pixel is located in the blooming region, and obtaining a plurality of second processed pixels correspondingly.
6. The image processing method as claimed in claim 5, wherein the blooming determining process comprises determining that the first processing pixel is in a blooming region of the image and determining that the first processing pixel is in an edge region of the image.
7. The image processing method as claimed in claim 6, wherein the high brightness region is determined by the brightness of the first processed pixel and its neighboring first processed pixel.
8. The image processing method as claimed in claim 6, wherein the first processed pixel is determined whether it is located in the edge region by using a gradient value.
9. The image processing method as claimed in claim 3, wherein the sizes of the first frame and the second frame are inversely proportional to the scene brightness of the image at the time of acquisition, the higher the scene brightness, the smaller the first frame and the second frame.
10. An electronic device, comprising:
an image capturing unit for obtaining an image, wherein the image has a plurality of target pixels, and each target pixel has a color saturation; and
an image signal processor electrically connected to the image capturing unit, for executing a color processing procedure on each target pixel and correspondingly obtaining a plurality of first processing pixels, wherein the color processing procedure comprises: the image signal processor determines that the target pixel is located in a low color saturation area, a middle color saturation area or a high color saturation area according to the color saturation and a color partition parameter of each target pixel, and the image signal processor performs suppression processing on the target pixel located in the low color saturation area to suppress the color saturation of the target pixel into a gray scale, performs suppression progressive processing on the target pixel located in the middle color saturation area to suppress the color saturation of the target pixel according to a suppression multiplying factor, and maintains the color saturation of the target pixel located in the high color saturation area.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040041951A1 (en) * 2002-08-23 2004-03-04 Samsung Electronics Co., Ltd. Method for color saturation adjustment with saturation limitation
CN1774077A (en) * 2004-11-08 2006-05-17 凌阳科技股份有限公司 Colour noise suppressing system
CN101729913A (en) * 2008-10-14 2010-06-09 华映视讯(吴江)有限公司 Method and system for adjusting image saturation
TW201108155A (en) * 2009-08-21 2011-03-01 Altek Corp Human face image processing method
CN105631812A (en) * 2014-10-29 2016-06-01 新相微电子(开曼)有限公司 Control method and control device for performing color enhancement on displayed image

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040041951A1 (en) * 2002-08-23 2004-03-04 Samsung Electronics Co., Ltd. Method for color saturation adjustment with saturation limitation
CN1774077A (en) * 2004-11-08 2006-05-17 凌阳科技股份有限公司 Colour noise suppressing system
CN101729913A (en) * 2008-10-14 2010-06-09 华映视讯(吴江)有限公司 Method and system for adjusting image saturation
TW201108155A (en) * 2009-08-21 2011-03-01 Altek Corp Human face image processing method
CN105631812A (en) * 2014-10-29 2016-06-01 新相微电子(开曼)有限公司 Control method and control device for performing color enhancement on displayed image

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