WO2017185957A1 - 图像处理方法、图像处理装置及显示装置 - Google Patents

图像处理方法、图像处理装置及显示装置 Download PDF

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Publication number
WO2017185957A1
WO2017185957A1 PCT/CN2017/079547 CN2017079547W WO2017185957A1 WO 2017185957 A1 WO2017185957 A1 WO 2017185957A1 CN 2017079547 W CN2017079547 W CN 2017079547W WO 2017185957 A1 WO2017185957 A1 WO 2017185957A1
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Prior art keywords
grayscale
region
value
ratio
gray scale
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PCT/CN2017/079547
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English (en)
French (fr)
Inventor
曾思衡
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京东方科技集团股份有限公司
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Priority to EP17758418.2A priority Critical patent/EP3451653B1/en
Priority to US15/555,943 priority patent/US10013747B2/en
Publication of WO2017185957A1 publication Critical patent/WO2017185957A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/90—Dynamic range modification of images or parts thereof
    • G06T5/92—Dynamic range modification of images or parts thereof based on global image properties
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/741—Circuitry for compensating brightness variation in the scene by increasing the dynamic range of the image compared to the dynamic range of the electronic image sensors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/71—Circuitry for evaluating the brightness variation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/76—Circuitry for compensating brightness variation in the scene by influencing the image signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/50—Control of the SSIS exposure
    • H04N25/57—Control of the dynamic range
    • H04N25/571—Control of the dynamic range involving a non-linear response
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/50—Control of the SSIS exposure
    • H04N25/57—Control of the dynamic range
    • H04N25/571—Control of the dynamic range involving a non-linear response
    • H04N25/575—Control of the dynamic range involving a non-linear response with a response composed of multiple slopes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20172—Image enhancement details
    • G06T2207/20208—High dynamic range [HDR] image processing

Definitions

  • the present invention relates to the field of display technologies, and in particular, to an image processing method, an image processing device, and a display device.
  • HDR High-Dynamic Range
  • An HDR-processed image is usually a combination of a high-exposure image and a low-exposure image, allowing us to observe the details of the high-brightness and low-luminance regions, respectively. Since the human eye is more sensitive to changes in brightness than color changes, images with more detail can better reflect the visual effects in the real environment.
  • an HDR-processed image needs to be synthesized using two or more images with different exposures, that is, the source of the video must be specially made. Therefore, the effect of implementing HDR in the prior art requires a complicated process.
  • an image processing method an image processing apparatus, and a display apparatus capable of achieving an approximately HDR effect by a simple gray scale conversion method.
  • an image processing method including:
  • the first ratio is greater than the second ratio, for each of the plurality of grayscale regions a grayscale region, where the first ratio is smaller than the second ratio, the grayscale region is a second grayscale region, and the first ratio is a pixel whose grayscale value is located in the grayscale region.
  • a ratio of the number to the number of all pixels, the second ratio being a ratio of a difference between a maximum grayscale value and a minimum grayscale value of the grayscale region and a maximum grayscale value in the image data of the frame to be displayed;
  • the grayscale value included in each of the plurality of grayscale regions is adjusted to increase a grayscale span of the first grayscale region
  • the first The gray-scale span of the second gray-scale region includes: making the first gray-scale region before the adjustment be within the range of the adjusted first gray-scale region, and setting the adjusted second gray-scale region to the second gray before the adjustment Within the range of the step area.
  • the grayscale value included in each of the plurality of grayscale regions is adjusted to increase a grayscale span of the first grayscale region, and the first The grayscale span of the second grayscale region, including:
  • a minimum grayscale value of the grayscale region, a maximum grayscale value of the grayscale region, and a maximum grayscale in the image data of the frame to be displayed For each of the plurality of grayscale regions, a minimum grayscale value of the grayscale region, a maximum grayscale value of the grayscale region, and a maximum grayscale in the image data of the frame to be displayed. a step value and a first ratio corresponding to the gray scale region, determining a target minimum gray scale value and a target maximum gray scale value corresponding to the gray scale region, the target maximum gray scale value and the target minimum gray scale value The difference is equal to the first ratio corresponding to the gray-scale region multiplied by the maximum grayscale value in the image data of the to-be-displayed frame, and the target minimum grayscale value corresponding to the first grayscale region is less than or a minimum grayscale value equal to the first grayscale region, where a target maximum grayscale value corresponding to the first grayscale region is greater than or equal to a maximum grayscale value of the first grayscale region
  • adjacent target maximum grayscale values and target minimum grayscale values corresponding to two adjacent grayscale regions of the plurality of grayscale regions are equal.
  • the method further includes:
  • the grayscale value included in each adjusted grayscale region is reduced by a preset ratio and rounded.
  • the method further includes:
  • the grayscale value of the grayscale region remains unchanged.
  • an embodiment of the present invention further provides an image processing apparatus, including:
  • a region dividing unit configured to determine a grayscale value of a plurality of pixels in the image data of the frame to be displayed before displaying the frame image data, and divide all grayscale values into a plurality of grayscale regions according to a setting rule
  • a comparison unit configured to compare a first ratio and a second ratio corresponding to the grayscale region for each of the plurality of grayscale regions, if the first ratio is greater than the second ratio
  • the grayscale region is a first grayscale region, and if the first ratio is smaller than the second ratio, the grayscale region is a second grayscale region, and the first ratio is a grayscale value in the grayscale a ratio of the number of pixels in the step region to the number of all pixels, the second ratio being the difference between the maximum grayscale value and the minimum grayscale value of the grayscale region and the maximum grayscale in the image data of the frame to be displayed Ratio of values;
  • the adjusting unit is configured to adjust a grayscale value included in each of the plurality of grayscale regions to increase a grayscale span of the first grayscale region, and reduce the second The grayscale span of the grayscale region.
  • the adjusting unit is further configured to: the first grayscale region before the adjustment is located within the range of the adjusted first grayscale region, and the adjusted second grayscale region is located before the adjustment Within the range of the second grayscale region.
  • the adjusting unit comprises:
  • a first determining module configured to, for each of the plurality of grayscale regions, Determining, according to a minimum grayscale value of the grayscale region, a maximum grayscale value of the grayscale region, a maximum grayscale value in the image data to be displayed, and a first ratio corresponding to the grayscale region.
  • a target minimum grayscale value corresponding to the grayscale region and a target maximum grayscale value wherein a difference between the target maximum grayscale value and the target minimum grayscale value is equal to a first ratio corresponding to the grayscale region multiplied by After the maximum grayscale value in the image data of the frame is read, rounded off, and the target minimum grayscale value corresponding to the first grayscale region is less than or equal to the minimum grayscale value of the first grayscale region, where a target grayscale value corresponding to a grayscale region is greater than or equal to a maximum grayscale value of the first grayscale region, and a target minimum grayscale value corresponding to the second grayscale region is greater than or equal to the second grayscale a minimum grayscale value of the region, where the target maximum grayscale value corresponding to the second grayscale region is less than or equal to a maximum grayscale value of the second grayscale region;
  • a second determining module configured to: for each grayscale region of the plurality of grayscale regions, a difference between the target maximum grayscale value and the target minimum grayscale value corresponding to the grayscale region and the grayscale a ratio of a difference between a maximum grayscale value and a minimum grayscale value of the region, and determining an adjustment coefficient corresponding to the grayscale region;
  • adjacent target maximum grayscale values and target minimum grayscale values corresponding to two adjacent grayscale regions of the plurality of grayscale regions are equal.
  • the image processing apparatus may further include: a derating unit configured to perform, at the adjustment unit, grayscale values included in each of the plurality of grayscale regions After the adjustment, and before displaying the frame image data, the grayscale values included in each adjusted grayscale region are reduced by a preset ratio and rounded.
  • the adjustment unit is further configured to maintain a grayscale value of the grayscale region unchanged when the comparison unit compares to determine that the first ratio is equal to the second ratio.
  • an embodiment of the present invention further provides a display device, including any of the above image processing devices provided by the embodiments of the present invention.
  • FIG. 1 is a flowchart of an image processing method according to an embodiment of the present invention
  • FIG. 2 is a flowchart of adjusting grayscale values included in each grayscale region of multiple grayscale regions in an image processing method according to an embodiment of the present disclosure
  • FIG. 3 is a diagram showing relationship between a plurality of grayscale regions before adjustment and a plurality of adjusted grayscale regions in an image processing method according to an embodiment of the present invention
  • 5a to 5c are image demonstration diagrams provided by Experiment 2 of the present invention.
  • 6a to 6c are image demonstration diagrams provided by Experiment 3 of the present invention.
  • FIG. 7 is a schematic structural diagram of an image processing apparatus according to an embodiment of the present invention.
  • FIG. 8 is another schematic structural diagram of an image processing apparatus according to an embodiment of the present invention.
  • Embodiments of the present invention provide an image processing method. As shown in FIG. 1, the image processing method may include the following steps.
  • the grayscale region is the first grayscale region
  • the first ratio is a ratio of the number of pixels of the grayscale value in the grayscale region to the total number of pixels
  • the second ratio is the difference between the maximum grayscale value and the minimum grayscale value of the grayscale region and the image data of the frame to be displayed. The ratio of the maximum grayscale value.
  • all the grayscale values of the frame image data to be displayed are divided into a plurality of grayscale regions before the frame image data is displayed. And each ash is based on a comparison result of the first ratio and the second ratio corresponding to each grayscale region.
  • the type of the step region is determined to be the first grayscale region or the second grayscale region.
  • the grayscale value included in each grayscale region is adjusted to increase the grayscale span of the first grayscale region, reduce the grayscale span of the second grayscale region, and according to the adjusted grayscale value To display frame image data.
  • the image processing method described above is equivalent to increasing the range of the first grayscale region in the image data of the frame to be displayed, and reducing the range of the second grayscale region. Therefore, the effect of approximating HDR can be achieved by performing a simple grayscale conversion and then displaying it.
  • the grayscale span of the grayscale region refers to two grayscale values adjacent to each other in the grayscale region. The difference between. For example, suppose a first grayscale region contains grayscale values of 2, 4, and 6, respectively, and the grayscale span between grayscale values 2 and 4 is 2, and grayscale values between grayscale values 4 and 6 are spanned. Is 2.
  • the grayscale value included in the first grayscale region is adjusted to increase the grayscale span of the first grayscale region, it is assumed that the grayscale value 2 becomes 1, the grayscale value 4 does not change, and the grayscale value 6 becomes 7, and in the adjusted first gray-scale region, the gray-scale values 1 and 4 have a gray-scale span of 3, and the gray-scale values 4 and 7 have a gray-scale span of 3.
  • the method includes the following steps: setting the first grayscale region before the adjustment within a range of the adjusted first grayscale region, and setting the adjusted second grayscale region to be within a range of the second grayscale region before the adjustment. That is, it is equivalent to performing area expansion on each of the first gray-scale regions, and compressing each of the second gray-scale regions, so that the difference in luminance between the pixels in which the gray-scale value is located in the first gray-scale region is larger, and gray The difference in luminance between pixels whose order values are located in the second gray-scale region is smaller. Thereby, the details of the image effect can be made more apparent.
  • step S103 may include the following steps.
  • a maximum grayscale value of the grayscale region For each grayscale region of the plurality of grayscale regions, according to a minimum grayscale value of the grayscale region, a maximum grayscale value of the grayscale region, a maximum grayscale value in the image data of the frame to be displayed, and a grayscale region.
  • Corresponding first ratio determining a target minimum grayscale value and a target maximum grayscale value corresponding to the grayscale region. The difference between the target maximum grayscale value and the target minimum grayscale value is equal to the first ratio corresponding to the grayscale region multiplied by the maximum grayscale value in the image data of the frame to be displayed, and then rounded.
  • the target minimum grayscale value corresponding to the first grayscale region is less than or equal to the minimum grayscale value of the first grayscale region.
  • the target maximum grayscale value corresponding to the first grayscale region is greater than or equal to the maximum grayscale value of the first grayscale region.
  • the target minimum grayscale value corresponding to the second grayscale region is greater than or equal to the minimum grayscale value of the second grayscale region.
  • the target of the second grayscale region corresponds to the most The large grayscale value is less than or equal to the maximum grayscale value of the second grayscale region.
  • a second gray-scale region has a minimum grayscale value of 0
  • a second grayscale region has a maximum grayscale value of 49
  • the second grayscale region corresponds to a first ratio of 10%.
  • the minimum grayscale value of a first grayscale region is 50
  • the maximum grayscale value of the first grayscale region is 200
  • the first ratio corresponding to the first grayscale region is 80%.
  • the maximum grayscale value in the frame image data to be displayed is 255.
  • the target minimum grayscale value corresponding to the first grayscale region may be less than or equal to the minimum grayscale value of the first grayscale region, and the target maximum grayscale value corresponding to the first grayscale region is greater than or equal to the first grayscale region.
  • a target minimum grayscale value corresponding to the second grayscale region is greater than or equal to a minimum grayscale value of the second grayscale region, and a target maximum grayscale value corresponding to the second grayscale region is less than or equal to the first grayscale value The maximum grayscale value of the second grayscale region.
  • the difference between the target maximum grayscale value and the target minimum grayscale value may be equal to the first ratio corresponding to the grayscale region multiplied by the maximum grayscale value in the image data of the frame to be displayed, and then rounded.
  • the target minimum grayscale value corresponding to the second grayscale region is taken as 0.
  • the difference between the target maximum grayscale value corresponding to the second grayscale region and the target minimum grayscale value is equal to the first ratio corresponding to the second grayscale region multiplied by the maximum grayscale value in the image data of the frame to be displayed. Therefore, according to 0+10% ⁇ 255 ⁇ 26, the target maximum grayscale value corresponding to the second grayscale region should be 26.
  • the minimum grayscale value of the second grayscale region is 0, the maximum grayscale value is 49, the target minimum grayscale value corresponding to the second grayscale region is taken as 0, and the target corresponding to the second grayscale region is the largest.
  • the grayscale value is 26.
  • the adjustment coefficient corresponding to the second gray-scale region is 26/49.
  • the minimum grayscale value of the first grayscale region is 50
  • the maximum grayscale value is 200
  • the target minimum grayscale value corresponding to the first grayscale region is 30, and the target maximum grayscale value corresponding to the first grayscale region.
  • the adjustment coefficient corresponding to the first gray level region is 204/150.
  • the y value corresponding to the grayscale value x included in the second grayscale region is calculated, and the y value is rounded to obtain an adjusted grayscale value.
  • adjacent target maximum grayscale values and target minimum grayscale values corresponding to two adjacent grayscale regions of the plurality of grayscale regions are equal.
  • the target maximum grayscale value 26 corresponding to the second grayscale region and the target minimum corresponding to the first grayscale region are The grayscale value 30 is the adjacent target maximum grayscale value and the target minimum grayscale value. Therefore, in order to achieve that the adjacent target maximum grayscale value and the target minimum grayscale value corresponding to the adjacent two grayscale regions are equal, the target maximum grayscale value corresponding to the second grayscale region may be compared with the first grayscale
  • the target minimum grayscale value corresponding to the step region is selected to be the same value. For example, these two values can be selected as 26, 28, 30, or 35, and the like.
  • the setting rule for dividing all the grayscale values into a plurality of grayscale regions may be a rule determined according to the image data, or may be preset, and is not limited herein.
  • the grayscale values 0 to 30 are one grayscale region A1
  • the grayscale values 31 to 200 are one grayscale region A2
  • the grayscale values 201 to 255 are one grayscale region A3.
  • the number of pixels in which the grayscale value is located in the grayscale region A1 is 10
  • the number of pixels in which the grayscale value is located in the grayscale region A2 is 75
  • the grayscale value is located in the third grayscale region.
  • the number of pixels is 15.
  • the corresponding first ratio is 10%
  • the corresponding second ratio is 30/255. Since 10% ⁇ 30/255, the gray scale area A1 is the second gray scale area.
  • the corresponding first ratio is 75%
  • the corresponding second ratio is 169/255. Since 75%>169/255, the gray-scale area A2 is the first gray-scale area.
  • the corresponding first ratio is 15%
  • the corresponding second ratio is 54/255. Since 15% ⁇ 54/255, the gray scale area A3 is the second gray scale area.
  • the order value and the first ratio corresponding to the gray scale region determine the target minimum gray scale value and the target maximum gray scale value corresponding to the gray scale region.
  • the target minimum grayscale value corresponding to the first grayscale region is less than or equal to the minimum grayscale value of the first grayscale region, and the target maximum grayscale value corresponding to the first grayscale region is greater than or equal to the maximum of the first grayscale region. Grayscale value.
  • the target minimum grayscale value corresponding to the second grayscale region is greater than or equal to the minimum grayscale value of the second grayscale region, and the target maximum grayscale value corresponding to the second grayscale region is less than or equal to the maximum of the second grayscale region.
  • Grayscale value The difference between the target maximum grayscale value corresponding to the grayscale region and the target minimum grayscale value is equal to the first ratio corresponding to the grayscale region multiplied by the maximum grayscale value in the image data of the frame to be displayed, and then rounded.
  • the adjacent target maximum grayscale value and the target minimum grayscale value corresponding to the adjacent two grayscale regions may be equal.
  • the target maximum grayscale value corresponding to the second grayscale region A1 should be 26.
  • the ratio 26/30 of the difference value 30 of the value 0 determines that the adjustment coefficient corresponding to the second gray-scale area A1 is 26/30.
  • the ratio 191/169 determines that the adjustment coefficient corresponding to the first gray-scale region A2 is 191/169.
  • the ratio of 38/54 determines that the adjustment factor corresponding to the second gray-scale area A3 is 38/54.
  • the image processing method may further The method includes: reducing the grayscale value included in each adjusted grayscale region by a preset ratio and then rounding.
  • the rounding may be performed according to, for example, the principle of rounding, which is not limited herein.
  • the image processing method provided by the embodiment performs image processing and the images obtained by the image processing are compared.
  • FIG. 4a shows an image that has not been processed
  • FIG. 4b shows an image obtained by image processing according to the image processing method according to the embodiment of the present invention described above
  • FIG. 4c shows the image according to the above
  • the image processing method of the embodiment of the invention further reduces the grayscale value included in each adjusted grayscale region by a preset ratio and then rounds the obtained image.
  • Figure 4b is the image showing the best results.
  • the power consumption corresponding to FIG. 4b is 1.104 times that of FIG. 4a
  • the power consumption corresponding to FIG. 4c is 0.967 times that of FIG. 4a.
  • FIG. 5a shows an image that has not been processed
  • FIG. 5b shows an image obtained by image processing according to the image processing method according to the embodiment of the present invention described above
  • FIG. 5c shows the image according to the above
  • the image processing method of the embodiment of the invention further reduces the grayscale value included in each adjusted grayscale region by a preset ratio and then rounds the obtained image.
  • Figure 5b is the image showing the best results.
  • the power consumption corresponding to FIG. 5b is 1.164 times that of FIG. 5a
  • the power consumption corresponding to FIG. 5c is 1.018 times that of FIG. 5a.
  • FIG. 6a shows an image that has not been processed
  • FIG. 6b shows an image obtained by image processing according to the image processing method according to the embodiment of the present invention described above
  • FIG. 6c shows the image according to the above
  • the image processing method of the embodiment of the invention further reduces the grayscale value included in each adjusted grayscale region by a preset ratio and then rounds the obtained image.
  • Figure 6b is the image showing the best results.
  • the power consumption corresponding to FIG. 6b is 1.029 times that of FIG. 6a
  • the power consumption corresponding to FIG. 6c is 0.907 times that of FIG. 6a.
  • the image processing method may further include: if the first ratio is equal to the second For the ratio, the grayscale value of the grayscale region remains unchanged. That is, the adjustment of the grayscale value is not performed.
  • an embodiment of the present invention further provides an image processing apparatus.
  • an image processing apparatus may include the following units.
  • the area dividing unit 01 is configured to determine grayscale values of a plurality of pixels in the frame image data to be displayed before displaying the frame image data, and divide all the grayscale values into a plurality of grayscale regions according to a setting rule.
  • the comparison unit 02 is configured to compare the first ratio and the second ratio corresponding to the grayscale region for each of the plurality of grayscale regions, and if the first ratio is greater than the second ratio, the grayscale region is the first grayscale In the step region, if the first ratio is smaller than the second ratio, the grayscale region is the second grayscale region.
  • the first ratio is the ratio of the number of pixels in the grayscale region to the number of all pixels.
  • the second ratio is a ratio of a difference between a maximum grayscale value and a minimum grayscale value of the grayscale region to a maximum grayscale value in the image data of the frame to be displayed.
  • the adjusting unit 03 is configured to adjust the grayscale value included in each of the plurality of grayscale regions to increase the grayscale span of the first grayscale region and reduce the gray of the second grayscale region. Step span.
  • the adjusting unit 03 may be further configured to make the first grayscale region before the adjustment be within the range of the adjusted first grayscale region, and the adjusted second grayscale region is located before the adjustment. Within the range of the second grayscale region.
  • the adjustment unit 03 may include the following modules.
  • the first determining module 31 is configured to: for each grayscale region of the plurality of grayscale regions, according to a minimum grayscale value of the grayscale region, a maximum grayscale value of the grayscale region, and a maximum grayscale in the image data of the frame to be displayed
  • the order value and the first ratio corresponding to the gray scale region determine the target minimum gray scale value and the target maximum gray scale value corresponding to the gray scale region.
  • the difference between the target maximum grayscale value and the target minimum grayscale value is equal to the first ratio corresponding to the grayscale region multiplied by the maximum grayscale value in the image data of the frame to be displayed, and then rounded.
  • the target minimum grayscale value corresponding to the first grayscale region is less than or equal to the minimum grayscale value of the first grayscale region, and the target maximum grayscale value corresponding to the first grayscale region is greater than or equal to the maximum grayscale of the first grayscale region.
  • the target minimum grayscale value corresponding to the second grayscale region is greater than or equal to the minimum grayscale value of the second grayscale region, and the target maximum grayscale value corresponding to the second grayscale region is less than or equal to the maximum grayscale of the second grayscale region. value.
  • the second determining module 32 is configured to, for each grayscale region of the plurality of grayscale regions, the difference between the target maximum grayscale value and the target minimum grayscale value corresponding to the grayscale region and the maximum grayscale of the grayscale region The ratio of the difference between the value and the minimum grayscale value determines the adjustment factor corresponding to the grayscale region.
  • K represents the adjustment coefficient corresponding to the gray-scale region
  • Y 0 represents the target minimum gray-scale value corresponding to the gray-scale region
  • X 0 represents the minimum gray-scale value of the gray-scale region.
  • adjacent target maximum grayscale values and target minimum grayscale values corresponding to two adjacent grayscale regions of the plurality of grayscale regions are equal.
  • the image processing apparatus may further include: a down value unit.
  • the derating unit is configured to: after the adjustment unit adjusts the grayscale value included in each of the plurality of grayscale regions, and before displaying the frame image data, each of the adjusted grayscale regions is The included grayscale values are rounded down by a preset ratio and rounded.
  • the adjustment unit is further configured to maintain the grayscale value of the grayscale region unchanged when the comparison unit compares to determine that the first ratio is equal to the second ratio.
  • the image processing device provided by the embodiment of the present invention solves the technical problem is the same as the image processing method provided in the foregoing embodiment, and details are not described herein.
  • an embodiment of the present invention further provides a display device, including any of the above image processing devices provided by the embodiments of the present invention.
  • the display device may, for example, comprise a display panel and other components associated therewith, which are not described in detail herein.
  • the display device may be any product or component having a display function, such as a mobile phone, a tablet computer, a television, a display, a notebook computer, a digital photo frame, a navigator, and the like.
  • a display function such as a mobile phone, a tablet computer, a television, a display, a notebook computer, a digital photo frame, a navigator, and the like.
  • Embodiments of the present invention provide an image processing method, an image processing apparatus, and a display apparatus. All gray scale values of the frame image data to be displayed are divided into a plurality of gray scale regions before the frame image data is displayed. And determining, according to the comparison result of the first ratio and the second ratio corresponding to each grayscale region, the type of each grayscale region is determined as the first grayscale region or the second grayscale region. Finally, the grayscale value included in each grayscale region is adjusted to increase the grayscale span of the first grayscale region, reduce the grayscale span of the second grayscale region, and according to the adjusted grayscale value To display frame image data.
  • the image processing method described above is equivalent to increasing the range of the first grayscale region in the image data of the frame to be displayed, and reducing the range of the second grayscale region. Therefore, by performing a simple grayscale conversion and then displaying it, you can achieve Approximate HDR effect.

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Abstract

本发明实施例公开了一种图像处理方法、图像处理装置及显示装置。在显示帧图像数据之前，将待显示帧图像数据的所有灰阶值划分成多个灰阶区域。再根据与每个灰阶区域对应的第一比值和第二比值的比较结果，将每个灰阶区域的类型确定为第一灰阶区域或第二灰阶区域。最后，对每个灰阶区域所包含的灰阶值进行调整，以增大第一灰阶区域的灰阶跨度，减小第二灰阶区域的灰阶跨度，并根据调整后的灰阶值来显示帧图像数据。即，该图像处理方法相当于增大了待显示帧图像数据中第一灰阶区域的范围，并减小了第二灰阶区域的范围。因此，通过进行简单的灰阶转换、之后再进行显示，就可以实现近似HDR的效果。

Description

图像处理方法、图像处理装置及显示装置 技术领域
本发明涉及显示技术领域，尤其涉及一种图像处理方法、图像处理装置及显示装置。
背景技术
在大光比环境下进行拍摄，普通相机因受到动态范围的限制，不能记录极端亮或者暗的细节。经高动态范围(High-Dynamic Range，简称HDR)处理的图像，即使在大光比的情况下，无论高光还是暗光，都能够获得比普通图像更佳的层次。
经HDR处理的图像通常是由一张高曝光的图像和一张低曝光的图像结合而成，从而使得我们可以分别观察到高亮度区域和低亮度区域的细节。由于人眼对于亮度变化比色彩变化更加敏感，所以具有更多细节的图像能够更好的反映出真实环境中的视觉效果。
但是，经HDR处理的图像需要使用两张以上曝光量不同的图像来合成，即，视频的信号源必须是特别制作的。因此，现有技术中要实现HDR的效果是需要复杂的处理过程的。
发明内容
因此，所期望的是提供一种图像处理方法、图像处理装置及显示装置，其能够通过简单的灰阶转换方式达到近似HDR的效果。
根据一个方面，本发明实施例提供了一种图像处理方法，包括：
在显示帧图像数据之前，确定待显示帧图像数据中多个像素的灰阶值，并按照设定规则将所有灰阶值划分成多个灰阶区域；
针对所述多个灰阶区域中的每个灰阶区域，比较所述灰阶区域对应的第一比值和第二比值，若所述第一比值大于所述第二比值则所述灰阶区域为第一灰阶区域，若所述第一比值小于所述第二比值则所述灰阶区域为第二灰阶区域，所述第一比值为灰阶值位于所述灰阶区域内的像素数量与所有像素数量的比值，所述第二比值为所述灰阶区域的最大灰阶值与最小灰阶值的差值与所述待显示帧图像数据中的最大灰阶值的比值；
对所述多个灰阶区域中的每个灰阶区域所包含的灰阶值进行调整，以增大所述第一灰阶区域的灰阶跨度，减小所述第二灰阶区域的灰阶跨度。
根据另一实施例，对所述多个灰阶区域中的每个灰阶区域所包含的灰阶值进行调整，以增大所述第一灰阶区域的灰阶跨度，减小所述第二灰阶区域的灰阶跨度，包括：使调整前的第一灰阶区域位于调整后的第一灰阶区域的范围内，并且使调整后的第二灰阶区域位于调整前的第二灰阶区域的范围内。
根据另一实施例，对所述多个灰阶区域中的每个灰阶区域所包含的灰阶值进行调整，以增大所述第一灰阶区域的灰阶跨度，减小所述第二灰阶区域的灰阶跨度，包括：
对于所述多个灰阶区域中的每个灰阶区域，根据所述灰阶区域的最小灰阶值、所述灰阶区域的最大灰阶值、所述待显示帧图像数据中的最大灰阶值以及与所述灰阶区域对应的第一比值，确定所述灰阶区域对应的目标最小灰阶值和目标最大灰阶值，所述目标最大灰阶值与所述目标最小灰阶值的差值等于所述灰阶区域对应的第一比值乘以所述待显示帧图像数据中的最大灰阶值后取整，且所述第一灰阶区域对应的目标最小灰阶值小于或等于所述第一灰阶区域的最小灰阶值，所述第一灰阶区域对应的目标最大灰阶值大于或等于所述第一灰阶区域的最大灰阶值，所述第二灰阶区域对应的目标最小灰阶值大于或等于所述第二灰阶区域的最小灰阶值，所述第二灰阶区域对应的目标最大灰阶值小于或等于所述第二灰阶区域的最大灰阶值；
对于所述多个灰阶区域中的每个灰阶区域，根据所述灰阶区域对应的目标最大灰阶值和目标最小灰阶值的差值与所述灰阶区域的最大灰阶值和最小灰阶值的差值的比值，确定所述灰阶区域对应的调整系数；
针对所述多个灰阶区域中的每个灰阶区域，根据公式y-Y0＝K·(x-X0)，计算与所述灰阶区域所包含的灰阶值x相对应的y值，并对y值进行取整以得到调整后的灰阶值，其中，K表示所述灰阶区域对应的调整系数，Y0表示所述灰阶区域对应的目标最小灰阶值，X0表示所述灰阶区域的最小灰阶值。
根据另一实施例，与所述多个灰阶区域中相邻的两个灰阶区域相对应的相邻的目标最大灰阶值和目标最小灰阶值相等。
根据另一实施例，在对所述多个灰阶区域中的每个灰阶区域所包含的灰阶值进行调整之后，且在显示帧图像数据之前，所述方法还包括：
将调整后的每个灰阶区域所包含的灰阶值以预设比例减小后取整。
根据另一实施例，在针对所述多个灰阶区域中的每个灰阶区域，比较所述灰阶区域对应的第一比值和第二比值之后，所述方法还包括：
若所述第一比值等于所述第二比值，则所述灰阶区域的灰阶值保持不变。
根据另一个方面，本发明实施例还提供了一种图像处理装置，包括：
区域划分单元，配置为在显示帧图像数据之前，确定待显示帧图像数据中多个像素的灰阶值，并按照设定规则将所有灰阶值划分成多个灰阶区域；
比较单元，配置为针对所述多个灰阶区域中的每个灰阶区域，比较所述灰阶区域对应的第一比值和第二比值，若所述第一比值大于所述第二比值则所述灰阶区域为第一灰阶区域，若所述第一比值小于所述第二比值则所述灰阶区域为第二灰阶区域，所述第一比值为灰阶值位于所述灰阶区域内的像素数量与所有像素数量的比值，所述第二比值为所述灰阶区域的最大灰阶值与最小灰阶值的差值与所述待显示帧图像数据中的最大灰阶值的比值；
调整单元，配置为对所述多个灰阶区域中的每个灰阶区域所包含的灰阶值进行调整，以增大所述第一灰阶区域的灰阶跨度，减小所述第二灰阶区域的灰阶跨度。
根据另一实施例，所述调整单元进一步配置为：使调整前的第一灰阶区域位于调整后的第一灰阶区域的范围内，并且使调整后的第二灰阶区域位于调整前的第二灰阶区域的范围内。
根据另一实施例，所述调整单元包括：
第一确定模块，配置为对于所述多个灰阶区域中的每个灰阶区域， 根据所述灰阶区域的最小灰阶值、所述灰阶区域的最大灰阶值、所述待显示帧图像数据中的最大灰阶值以及所述灰阶区域对应的第一比值，确定所述灰阶区域对应的目标最小灰阶值和目标最大灰阶值，所述目标最大灰阶值与所述目标最小灰阶值的差值等于所述灰阶区域对应的第一比值乘以所述待显示帧图像数据中的最大灰阶值后取整，且所述第一灰阶区域对应的目标最小灰阶值小于或等于所述第一灰阶区域的最小灰阶值，所述第一灰阶区域对应的目标最大灰阶值大于或等于所述第一灰阶区域的最大灰阶值，所述第二灰阶区域对应的目标最小灰阶值大于或等于所述第二灰阶区域的最小灰阶值，所述第二灰阶区域对应的目标最大灰阶值小于或等于所述第二灰阶区域的最大灰阶值；
第二确定模块，配置为对于所述多个灰阶区域中的每个灰阶区域，根据所述灰阶区域对应的目标最大灰阶值和目标最小灰阶值的差值与所述灰阶区域的最大灰阶值和最小灰阶值的差值的比值，确定所述灰阶区域对应的调整系数；
灰阶转换模块，配置为针对所述多个灰阶区域中的每个灰阶区域，根据公式y-Y0＝K·(x-X0)，计算与所述灰阶区域所包含的灰阶值x相对应的y值，并对y值进行取整以得到调整后的灰阶值，其中，K表示所述灰阶区域对应的调整系数，Y0表示所述灰阶区域对应的目标最小灰阶值，X0表示所述灰阶区域的最小灰阶值。
根据另一实施例，与所述多个灰阶区域中相邻的两个灰阶区域相对应的相邻的目标最大灰阶值和目标最小灰阶值相等。
根据另一实施例，图像处理装置还可以包括：降值单元，该降值单元配置为在所述调整单元对所述多个灰阶区域中的每个灰阶区域所包含的灰阶值进行调整之后，且在显示帧图像数据之前，将调整后的每个灰阶区域所包含的灰阶值以预设比例减小后取整。
根据另一实施例，所述调整单元还配置为，在经所述比较单元比较以确定所述第一比值等于所述第二比值时，保持所述灰阶区域的灰阶值不变。
根据又一方面，本发明实施例还提供了一种显示装置，包括本发明实施例提供的上述任一种图像处理装置。
附图说明
图1为本发明实施例提供的图像处理方法的流程图；
图2为本发明实施例提供的图像处理方法中对多个灰阶区域中每个灰阶区域所包含的灰阶值进行调整的流程图；
图3为根据本发明一个实施例的图像处理方法中，调整前的多个灰阶区域与调整后的多个灰阶区域的关系图；
图4a至图4c为本发明实验一提供的图像演示图；
图5a至图5c为本发明实验二提供的图像演示图；
图6a至图6c为本发明实验三提供的图像演示图；
图7为本发明实施例提供的图像处理装置的结构示意图；
图8为本发明实施例提供的图像处理装置的另一结构示意图。
具体实施方式
下面结合附图，对本发明实施例提供的图像处理方法、图像处理装置及显示装置的具体实施方式进行详细地说明。
本发明实施例提供了一种图像处理方法。如图1所示，该图像处理方法可以包括以下步骤。
S101、在显示帧图像数据之前，确定待显示帧图像数据中多个像素的灰阶值，并按照设定规则将所有灰阶值划分成多个灰阶区域。
S102、针对多个灰阶区域中的每个灰阶区域，比较灰阶区域对应的第一比值和第二比值。若第一比值大于第二比值则灰阶区域为第一灰阶区域，若第一比值小于第二比值则灰阶区域为第二灰阶区域。第一比值为灰阶值位于灰阶区域内的像素数量与所有像素数量的比值，第二比值为灰阶区域的最大灰阶值与最小灰阶值的差值与待显示帧图像数据中的最大灰阶值的比值。
S103、对多个灰阶区域中的每个灰阶区域所包含的灰阶值进行调整，以增大第一灰阶区域的灰阶跨度，减小第二灰阶区域的灰阶跨度。
在本发明实施例提供的上述图像处理方法中，在显示帧图像数据之前，将待显示帧图像数据的所有灰阶值划分成多个灰阶区域。再根据与每个灰阶区域对应的第一比值和第二比值的比较结果，将每个灰 阶区域的类型确定为第一灰阶区域或第二灰阶区域。最后，对每个灰阶区域所包含的灰阶值进行调整，以增大第一灰阶区域的灰阶跨度，减小第二灰阶区域的灰阶跨度，并根据调整后的灰阶值来显示帧图像数据。即，上述图像处理方法相当于增大了待显示帧图像数据中第一灰阶区域的范围，并减小了第二灰阶区域的范围。因此，通过进行简单的灰阶转换、之后再进行显示，就可以实现近似HDR的效果。
需要说明的是，在本发明实施例提供的上述图像处理方法中，灰阶区域的灰阶跨度是指灰阶区域中按大小顺序排列的多个灰阶值中相邻的两个灰阶值之间的差值。例如，假设一个第一灰阶区域包含的灰阶值分别为2、4和6，则灰阶值2和4之间的灰阶跨度为2，灰阶值4和6之间的灰阶跨度为2。若为了增大该第一灰阶区域的灰阶跨度而对该第一灰阶区域所包含的灰阶值进行调整，假设灰阶值2变为1，灰阶值4不变，灰阶值6变为7，则调整后的第一灰阶区域中，灰阶值1和4的灰阶跨度为3，灰阶值4和7的灰阶跨度为3。
进一步地，对多个灰阶区域中的每个灰阶区域所包含的灰阶值进行调整，以增大第一灰阶区域的灰阶跨度，减小第二灰阶区域的灰阶跨度，可以包括：使调整前的第一灰阶区域位于调整后的第一灰阶区域的范围内，并且使调整后的第二灰阶区域位于调整前的第二灰阶区域的范围内。即，相当于将各第一灰阶区域进行区域扩展，将各第二灰阶区域进行区域压缩，从而使得灰阶值位于第一灰阶区域内的像素之间的亮度差异更大，而灰阶值位于第二灰阶区域内的像素之间的亮度差异更小。由此，可以使得图像效果的细节更为明显。
进一步地，如图2所示，以上步骤S103可以包括以下步骤。
S201、对于多个灰阶区域中的每个灰阶区域，根据灰阶区域的最小灰阶值、灰阶区域的最大灰阶值、待显示帧图像数据中的最大灰阶值以及灰阶区域对应的第一比值，确定灰阶区域对应的目标最小灰阶值和目标最大灰阶值。目标最大灰阶值与目标最小灰阶值的差值等于灰阶区域对应的第一比值乘以待显示帧图像数据中的最大灰阶值后取整。且第一灰阶区域对应的目标最小灰阶值小于或等于该第一灰阶区域的最小灰阶值。第一灰阶区域对应的目标最大灰阶值大于或等于该第一灰阶区域的最大灰阶值。第二灰阶区域对应的目标最小灰阶值大于或等于该第二灰阶区域的最小灰阶值。第二灰阶区域对应的目标最 大灰阶值小于或等于该第二灰阶区域的最大灰阶值。
例如，假设一个第二灰阶区域的最小灰阶值为0，该第二灰阶区域的最大灰阶值为49，该第二灰阶区域对应的第一比值为10％。假设一个第一灰阶区域的最小灰阶值为50，该第一灰阶区域的最大灰阶值为200，该第一灰阶区域对应的第一比值为80％。并且，假设待显示帧图像数据中的最大灰阶值为255。可以使第一灰阶区域对应的目标最小灰阶值小于或等于该第一灰阶区域的最小灰阶值，第一灰阶区域对应的目标最大灰阶值大于或等于该第一灰阶区域的最大灰阶值，第二灰阶区域对应的目标最小灰阶值大于或等于该第二灰阶区域的最小灰阶值，第二灰阶区域对应的目标最大灰阶值小于或等于该第二灰阶区域的最大灰阶值。并且，可以使目标最大灰阶值与目标最小灰阶值的差值等于灰阶区域对应的第一比值乘以待显示帧图像数据中的最大灰阶值后取整。例如，将该第二灰阶区域对应的目标最小灰阶值取为0。由于该第二灰阶区域对应的目标最大灰阶值与目标最小灰阶值的差值等于该第二灰阶区域对应的第一比值乘以待显示帧图像数据中的最大灰阶值后取整，因此，根据0+10％×255≈26，该第二灰阶区域对应的目标最大灰阶值应该为26。例如，将该第一灰阶区域对应的目标最小灰阶值取为30，根据30+80％×255＝234，该第一灰阶区域对应的目标最大灰阶值应该为234。
S202、对于多个灰阶区域中的每个灰阶区域，根据灰阶区域对应的目标最大灰阶值和目标最小灰阶值的差值与灰阶区域的最大灰阶值和最小灰阶值的差值的比值，确定灰阶区域对应的调整系数。
例如，上述举例中第二灰阶区域的最小灰阶值为0，最大灰阶值为49，第二灰阶区域对应的目标最小灰阶值取为0，第二灰阶区域对应的目标最大灰阶值为26。则该第二灰阶区域对应的调整系数为26/49。上述举例中第一灰阶区域的最小灰阶值为50，最大灰阶值为200，第一灰阶区域对应的目标最小灰阶值为30，第一灰阶区域对应的目标最大灰阶值为234。则该第一灰阶区域对应的调整系数为204/150。
S203、针对多个灰阶区域中的每个灰阶区域，根据公式y-Y0＝K·(x-X0)，计算与该灰阶区域所包含的灰阶值x相对应的y值，并对y值进行取整以得到调整后的灰阶值。K表示灰阶区域对应的调整系 数，Y0表示灰阶区域对应的目标最小灰阶值，X0表示灰阶区域的最小灰阶值。
例如，针对上述举例中的第二灰阶区域，可以根据公式
Figure PCTCN2017079547-appb-000001
计算与该第二灰阶区域所包含的灰阶值x相对应的y值，并对y值进行取整，以得到调整后的灰阶值。例如，当第二灰阶区域中的灰阶值x＝30时，根据公式
Figure PCTCN2017079547-appb-000002
再对15.92进行取整，就能够得到第二灰阶区域中的灰阶值30进行调整后的灰阶值16。同理，针对上述举例中的第一灰阶区域，根据公式
Figure PCTCN2017079547-appb-000003
计算与该第一灰阶区域所包含的灰阶值x相对应的y值，并对y值进行取整，以得到调整后的灰阶值。例如，当第一灰阶区域中的灰阶值x＝150时，根据公式
Figure PCTCN2017079547-appb-000004
再对166进行取整，就能够得到第一灰阶区域中的灰阶值150进行调整后的灰阶值166。
根据另一实施例，与多个灰阶区域中相邻的两个灰阶区域相对应的相邻的目标最大灰阶值和目标最小灰阶值相等。
例如，假设上述举例中的第二灰阶区域与第一灰阶区域为相邻的灰阶区域，则第二灰阶区域对应的目标最大灰阶值26与第一灰阶区域对应的目标最小灰阶值30为相邻的目标最大灰阶值和目标最小灰阶值。因此，为了实现与相邻的两个灰阶区域相对应的相邻的目标最大灰阶值和目标最小灰阶值相等，可以将第二灰阶区域对应的目标最大灰阶值与第一灰阶区域对应的目标最小灰阶值选取为相同值。例如，可以将这两个值选取为26、28、30或35等。
将所有灰阶值划分成多个灰阶区域的设定规则可以是根据图像数据确定的规则，也可以是预先设定的，在此不作限定。
下面，通过一个具体实施例来举例说明上述图像处理方法。
(1)在显示帧图像数据之前，确定待显示帧图像数据中多个像素的灰阶值，并按照设定规则将所有灰阶值划分成多个灰阶区域。例如， 图3所示，灰阶值0～30为一个灰阶区域A1，灰阶值31～200为一个灰阶区域A2，灰阶值201～255为一个灰阶区域A3。假设共有100个像素，灰阶值位于灰阶区域A1内的像素的数量是10个，灰阶值位于灰阶区域A2内的像素的数量是75个，灰阶值位于第三灰阶区域内的像素的数量是15个。
(2)对于灰阶区域A1，其对应的第一比值为10％，其对应的第二比值为30/255。由于10％＜30/255，因此灰阶区域A1为第二灰阶区域。对于灰阶区域A2，其对应的第一比值为75％，其对应的第二比值为169/255。由于75％＞169/255，因此灰阶区域A2为第一灰阶区域。对于灰阶区域A3，其对应的第一比值为15％，其对应的第二比值为54/255。由于15％＜54/255，因此灰阶区域A3为第二灰阶区域。
(3)对于多个灰阶区域A1、A2和A3中的每个灰阶区域，根据灰阶区域的最小灰阶值、灰阶区域的最大灰阶值、待显示帧图像数据中的最大灰阶值、以及灰阶区域对应的第一比值，确定灰阶区域对应的目标最小灰阶值和目标最大灰阶值。第一灰阶区域对应的目标最小灰阶值小于或等于该第一灰阶区域的最小灰阶值，第一灰阶区域对应的目标最大灰阶值大于或等于该第一灰阶区域的最大灰阶值。第二灰阶区域对应的目标最小灰阶值大于或等于该第二灰阶区域的最小灰阶值，第二灰阶区域对应的目标最大灰阶值小于或等于该第二灰阶区域的最大灰阶值。灰阶区域对应的目标最大灰阶值与目标最小灰阶值的差值等于灰阶区域对应的第一比值乘以待显示帧图像数据中的最大灰阶值后取整。与相邻的两个灰阶区域对应的相邻的目标最大灰阶值和目标最小灰阶值可以相等。假设第二灰阶区域A1对应的目标最小灰阶值取为0，则根据0+10％×255＝25.5并且对25.5进行取整，第二灰阶区域A1对应的目标最大灰阶值应该为26。假设第一灰阶区域A2对应的目标最小灰阶值为26，则根据26+75％×255＝217.25并且对217.25进行取整，第一灰阶区域A2对应的目标最大灰阶值应该为217。假设第二灰阶区域A3对应的目标最小灰阶值为217，则根据217+15％×255＝255.25并且对255.25进行取整，第二灰阶区域A3对应的目标最大灰阶值应该为255。
(4)根据第二灰阶区域A1对应的目标最大灰阶值26和目标最小灰阶值0的差值26与该第二灰阶区域A1的最大灰阶值30和最小灰阶 值0的差值30的比值26/30，确定第二灰阶区域A1对应的调整系数为26/30。根据第一灰阶区域A2对应的目标最大灰阶值217和目标最小灰阶值26的差值191与该第一灰阶区域A2的最大灰阶值200和最小灰阶值31的差值169的比值191/169，确定第一灰阶区域A2对应的调整系数为191/169。根据第二灰阶区域A3对应的目标最大灰阶值255和目标最小灰阶值217的差值38与该第二灰阶区域A3的最大灰阶值255和最小灰阶值201的差值54的比值38/54，确定第二灰阶区域A3对应的调整系数为38/54。
(5)针对第二灰阶区域A1，根据公式
Figure PCTCN2017079547-appb-000005
计算与该第二灰阶区域A1所包含的灰阶值x相对应的y值，并对y值进行取整，以得到调整后的第二灰阶区域A1’所包含的灰阶值y′。同理，针对第一灰阶区域A2，根据公式
Figure PCTCN2017079547-appb-000006
计算与该第一灰阶区域A2所包含的灰阶值x相对应的y值，并对y值进行取整，以得到调整后的第一灰阶区域A2’所包含的灰阶值y′。同理，针对第二灰阶区域A3，根据公式
Figure PCTCN2017079547-appb-000007
计算与该第二灰阶区域A3所包含的灰阶值x相对应的y值，并对y值进行取整，以得到调整后的第二灰阶区域A3’所包含的灰阶值y′。
在具体实施时，通过实验验证发现，采用本发明实施例提供的上述图像处理方法虽然会实现近似HDR的效果，但是有可能会提高功耗。
因此，根据另一实施例，为了降低功耗，在对多个灰阶区域中的每个灰阶区域所包含的灰阶值进行调整之后，且在显示帧图像数据之前，图像处理方法还可以包括：将调整后的每个灰阶区域所包含的灰阶值以预设比例减小后取整。
在具体实施时，可以根据例如四舍五入的原则进行取整，在此不作限定。
通过三次实验，将不经过图像处理就得到的图像与通过本发明实 施例提供的图像处理方法进行图像处理后得到的图像进行比对。
实验一：如图4a至图4c所示，图4a表示没经过处理的图像，图4b表示通过根据上述本发明实施例的图像处理方法进行图像处理后得到的图像，图4c表示在根据上述本发明实施例的图像处理方法的基础上又将调整后的每个灰阶区域所包含的灰阶值以预设比例减小后取整所得到的图像。从图4a至图4c中可以看出，图4b是显示效果最好的图像。图4c的显示效果虽然没有图4b的显示效果好，但是图4c相比于图4a，其显示效果也是明显的提高了。并且，通过比较与图4a至图4c所示图像相对应的功耗发现，图4b对应的功耗是图4a的1.104倍，图4c对应的功耗是图4a的0.967倍。
实验二：如图5a至图5c所示，图5a表示没经过处理的图像，图5b表示通过根据上述本发明实施例的图像处理方法进行图像处理后得到的图像，图5c表示在根据上述本发明实施例的图像处理方法的基础上又将调整后的每个灰阶区域所包含的灰阶值以预设比例减小后取整所得到的图像。从图5a至图5c中可以看出，图5b是显示效果最好的图像。图5c的显示效果虽然没有图5b的显示效果好，但是图5c相比于图5a，其显示效果也是明显的提高了。并且，通过比较与图5a至图5c所示图像相对应的功耗发现，图5b对应的功耗是图5a的1.164倍，图5c对应的功耗是图5a的1.018倍。
实验三：如图6a至图6c所示，图6a表示没经过处理的图像，图6b表示通过根据上述本发明实施例的图像处理方法进行图像处理后得到的图像，图6c表示在根据上述本发明实施例的图像处理方法的基础上又将调整后的每个灰阶区域所包含的灰阶值以预设比例减小后取整所得到的图像。从图6a至图6c中可以看出，图6b是显示效果最好的图像。图6c的显示效果虽然没有图6b的显示效果好，但是图6c相比于图6a，其显示效果也是明显的提高了。并且，通过比较与图6a至图6c所示图像相对应的功耗发现，图6b对应的功耗是图6a的1.029倍，图6c对应的功耗是图6a的0.907倍。
根据另一实施例，在针对多个灰阶区域中的每个灰阶区域，比较灰阶区域对应的第一比值和第二比值之后，图像处理方法还可以包括：若第一比值等于第二比值，则灰阶区域的灰阶值保持不变。即，不进行灰阶值的调整。
基于同一发明构思，本发明实施例还提供了一种图像处理装置。如图7所示，根据本发明实施例的图像处理装置可以包括以下单元。
区域划分单元01，配置为在显示帧图像数据之前，确定待显示帧图像数据中多个像素的灰阶值，并按照设定规则将所有灰阶值划分成多个灰阶区域。
比较单元02，配置为针对多个灰阶区域中的每个灰阶区域，比较灰阶区域对应的第一比值和第二比值，若第一比值大于第二比值则灰阶区域为第一灰阶区域，若第一比值小于第二比值则灰阶区域为第二灰阶区域。第一比值为灰阶值位于灰阶区域内的像素数量与所有像素数量的比值。第二比值为灰阶区域的最大灰阶值与最小灰阶值的差值与待显示帧图像数据中的最大灰阶值的比值。
调整单元03，配置为对多个灰阶区域中的每个灰阶区域所包含的灰阶值进行调整，以增大第一灰阶区域的灰阶跨度，减小第二灰阶区域的灰阶跨度。
根据另一实施例，调整单元03可以进一步配置为，使调整前的第一灰阶区域位于调整后的第一灰阶区域的范围内，并且使调整后的第二灰阶区域位于调整前的第二灰阶区域的范围内。
根据另一实施例，如图8所示，调整单元03可以包括以下模块。
第一确定模块31，配置为对于多个灰阶区域中的每个灰阶区域，根据灰阶区域的最小灰阶值、灰阶区域的最大灰阶值、待显示帧图像数据中的最大灰阶值以及灰阶区域对应的第一比值，确定灰阶区域对应的目标最小灰阶值和目标最大灰阶值。目标最大灰阶值与目标最小灰阶值的差值等于灰阶区域对应的第一比值乘以待显示帧图像数据中的最大灰阶值后取整。且第一灰阶区域对应的目标最小灰阶值小于或等于第一灰阶区域的最小灰阶值，第一灰阶区域对应的目标最大灰阶值大于或等于第一灰阶区域的最大灰阶值。第二灰阶区域对应的目标最小灰阶值大于或等于第二灰阶区域的最小灰阶值，第二灰阶区域对应的目标最大灰阶值小于或等于第二灰阶区域的最大灰阶值。
第二确定模块32，配置为对于多个灰阶区域中的每个灰阶区域，根据灰阶区域对应的目标最大灰阶值和目标最小灰阶值的差值与灰阶区域的最大灰阶值和最小灰阶值的差值的比值，确定灰阶区域对应的调整系数。
灰阶转换模块33，配置为针对多个灰阶区域中的每个灰阶区域，根据公式y-Y0＝K·(x-X0)，计算与灰阶区域所包含的灰阶值x相对应的y值，并对y值进行取整以得到调整后的灰阶值。K表示灰阶区域对应的调整系数，Y0表示灰阶区域对应的目标最小灰阶值，X0表示灰阶区域的最小灰阶值。
根据另一实施例，与多个灰阶区域中相邻的两个灰阶区域相对应的相邻的目标最大灰阶值和目标最小灰阶值相等。
根据另一实施例，图像处理装置还可以包括：降值单元。该降值单元配置为，在调整单元对多个灰阶区域中每个灰阶区域所包含的灰阶值进行调整之后，且在显示帧图像数据之前，将调整后的每个灰阶区域所包含的灰阶值以预设比例减小后取整。
根据另一实施例，调整单元还配置为，在经比较单元比较以确定第一比值等于第二比值时，保持灰阶区域的灰阶值不变。
在具体实施时，本发明实施例提供的上述图像处理装置解决技术问题的原理与上述实施例提供的图像处理方法相同，在此不作赘述。
基于同一发明构思，本发明实施例还提供了一种显示装置，包括本发明实施例提供的上述任一种图像处理装置。显示装置例如可以包括显示面板以及与其配套的其它部件，在此不作详述。例如，显示装置可以为：手机、平板电脑、电视机、显示器、笔记本电脑、数码相框、导航仪等任何具有显示功能的产品或部件。显示装置的实施可以参见上述图像处理装置的实施例，重复之处不再赘述。
本发明实施例提供了一种图像处理方法、图像处理装置及显示装置。在显示帧图像数据之前，将待显示帧图像数据的所有灰阶值划分成多个灰阶区域。再根据与每个灰阶区域对应的第一比值和第二比值的比较结果，将每个灰阶区域的类型确定为第一灰阶区域或第二灰阶区域。最后，对每个灰阶区域所包含的灰阶值进行调整，以增大第一灰阶区域的灰阶跨度，减小第二灰阶区域的灰阶跨度，并根据调整后的灰阶值来显示帧图像数据。即，上述图像处理方法相当于增大了待显示帧图像数据中第一灰阶区域的范围，并减小了第二灰阶区域的范围。因此，通过进行简单的灰阶转换、之后再进行显示，就可以实现 近似HDR的效果。
显然，本领域的技术人员可以对本发明实施例进行各种改动和变型而不脱离本发明的精神和范围。这样，倘若对于本发明实施例的这些修改和变型属于本发明权利要求及其等同技术的范围之内，则本发明也意图包含这些改动和变型在内。

Claims (13)

  1. 一种图像处理方法，包括：
    在显示帧图像数据之前，确定待显示帧图像数据中多个像素的灰阶值，并按照设定规则将所有灰阶值划分成多个灰阶区域；
    针对所述多个灰阶区域中的每个灰阶区域，比较所述灰阶区域对应的第一比值和第二比值，若所述第一比值大于所述第二比值则所述灰阶区域为第一灰阶区域，若所述第一比值小于所述第二比值则所述灰阶区域为第二灰阶区域，其中，所述第一比值为灰阶值位于所述灰阶区域内的像素数量与所有像素数量的比值，所述第二比值为所述灰阶区域的最大灰阶值与最小灰阶值的差值与所述待显示帧图像数据中的最大灰阶值的比值；
    对所述多个灰阶区域中的每个灰阶区域所包含的灰阶值进行调整，以增大所述第一灰阶区域的灰阶跨度，减小所述第二灰阶区域的灰阶跨度。
  2. 如权利要求1所述的图像处理方法，其中，对所述多个灰阶区域中的每个灰阶区域所包含的灰阶值进行调整，以增大所述第一灰阶区域的灰阶跨度，减小所述第二灰阶区域的灰阶跨度，包括：
    使调整前的第一灰阶区域位于调整后的第一灰阶区域的范围内，并且使调整后的第二灰阶区域位于调整前的第二灰阶区域的范围内。
  3. 如权利要求2所述的图像处理方法，其中，对所述多个灰阶区域中的每个灰阶区域所包含的灰阶值进行调整，以增大所述第一灰阶区域的灰阶跨度，减小所述第二灰阶区域的灰阶跨度，包括：
    对于所述多个灰阶区域中的每个灰阶区域，根据所述灰阶区域的最小灰阶值、所述灰阶区域的最大灰阶值、所述待显示帧图像数据中的最大灰阶值以及所述灰阶区域对应的第一比值，确定所述灰阶区域对应的目标最小灰阶值和目标最大灰阶值，其中，所述目标最大灰阶值与所述目标最小灰阶值的差值等于所述灰阶区域对应的第一比值乘以所述待显示帧图像数据中的最大灰阶值后取整，且所述第一灰阶区域对应的目标最小灰阶值小于或等于所述第一灰阶区域的最小灰阶值，所述第一灰阶区域对应的目标最大灰阶值大于或等于所述第一灰阶区域的最大灰阶值，所述第二灰阶区域对应的目标最小灰阶值大于或等 于所述第二灰阶区域的最小灰阶值，所述第二灰阶区域对应的目标最大灰阶值小于或等于所述第二灰阶区域的最大灰阶值；
    对于所述多个灰阶区域中的每个灰阶区域，根据所述灰阶区域对应的目标最大灰阶值和目标最小灰阶值的差值与所述灰阶区域的最大灰阶值和最小灰阶值的差值的比值，确定所述灰阶区域对应的调整系数；
    针对所述多个灰阶区域中的每个灰阶区域，根据公式y-Y0＝K·(x-X0)，计算与所述灰阶区域所包含的灰阶值x相对应的y值，并对y值进行取整以得到调整后的灰阶值，其中，K表示所述灰阶区域对应的调整系数，Y0表示所述灰阶区域对应的目标最小灰阶值，X0表示所述灰阶区域的最小灰阶值。
  4. 如权利要求3所述的图像处理方法，其中，与所述多个灰阶区域中相邻的两个灰阶区域相对应的相邻的目标最大灰阶值和目标最小灰阶值相等。
  5. 如权利要求1-4中任一项所述的图像处理方法，其中，在对所述多个灰阶区域中的每个灰阶区域所包含的灰阶值进行调整之后，且在显示帧图像数据之前，所述方法还包括：
    将调整后的每个灰阶区域所包含的灰阶值以预设比例减小后取整。
  6. 如权利要求1-4中任一项所述的图像处理方法，其中，在针对所述多个灰阶区域中的每个灰阶区域，比较所述灰阶区域对应的第一比值和第二比值之后，所述方法还包括：
    若所述第一比值等于所述第二比值，则所述灰阶区域的灰阶值保持不变。
  7. 一种图像处理装置，包括：
    区域划分单元，配置为在显示帧图像数据之前，确定待显示帧图像数据中多个像素的灰阶值，并按照设定规则将所有灰阶值划分成多个灰阶区域；
    比较单元，配置为针对所述多个灰阶区域中的每个灰阶区域，比较所述灰阶区域对应的第一比值和第二比值，若所述第一比值大于所 述第二比值则所述灰阶区域为第一灰阶区域，若所述第一比值小于所述第二比值则所述灰阶区域为第二灰阶区域，其中，所述第一比值为灰阶值位于所述灰阶区域内的像素数量与所有像素数量的比值，所述第二比值为所述灰阶区域的最大灰阶值与最小灰阶值的差值与所述待显示帧图像数据中的最大灰阶值的比值；
    调整单元，配置为对所述多个灰阶区域中的每个灰阶区域所包含的灰阶值进行调整，以增大所述第一灰阶区域的灰阶跨度，减小所述第二灰阶区域的灰阶跨度。
  8. 如权利要求7所述的图像处理装置，其中，所述调整单元进一步配置为，使调整前的第一灰阶区域位于调整后的第一灰阶区域的范围内，并且使调整后的第二灰阶区域位于调整前的第二灰阶区域的范围内。
  9. 如权利要求8所述的图像处理装置，其中，所述调整单元包括：
    第一确定模块，配置为对于所述多个灰阶区域中的每个灰阶区域，根据所述灰阶区域的最小灰阶值、所述灰阶区域的最大灰阶值、所述待显示帧图像数据中的最大灰阶值以及所述灰阶区域对应的第一比值，确定所述灰阶区域对应的目标最小灰阶值和目标最大灰阶值，其中，所述目标最大灰阶值与所述目标最小灰阶值的差值等于所述灰阶区域对应的第一比值乘以所述待显示帧图像数据中的最大灰阶值后取整，且所述第一灰阶区域对应的目标最小灰阶值小于或等于所述第一灰阶区域的最小灰阶值，所述第一灰阶区域对应的目标最大灰阶值大于或等于所述第一灰阶区域的最大灰阶值，所述第二灰阶区域对应的目标最小灰阶值大于或等于所述第二灰阶区域的最小灰阶值，所述第二灰阶区域对应的目标最大灰阶值小于或等于所述第二灰阶区域的最大灰阶值；
    第二确定模块，配置为对于所述多个灰阶区域中的每个灰阶区域，根据所述灰阶区域对应的目标最大灰阶值和目标最小灰阶值的差值与所述灰阶区域的最大灰阶值和最小灰阶值的差值的比值，确定所述灰阶区域对应的调整系数；
    灰阶转换模块，配置为针对所述多个灰阶区域中的每个灰阶区域，根据公式y-Y0＝K·(x-X0)，计算与所述灰阶区域所包含的灰阶值x相对应 的y值，并对y值进行取整以得到调整后的灰阶值，其中，K表示所述灰阶区域对应的调整系数，Y0表示所述灰阶区域对应的目标最小灰阶值，X0表示所述灰阶区域的最小灰阶值。
  10. 如权利要求9所述的图像处理装置，其中，与所述多个灰阶区域中相邻的两个灰阶区域相对应的相邻的目标最大灰阶值和目标最小灰阶值相等。
  11. 如权利要求7-10中任一项所述的图像处理装置，还包括降值单元，所述降值单元配置为，在所述调整单元对所述多个灰阶区域中的每个灰阶区域所包含的灰阶值进行调整之后且在显示帧图像数据之前，将调整后的每个灰阶区域所包含的灰阶值以预设比例减小后取整。
  12. 如权利要求7-10中任一项所述的图像处理装置，其中，所述调整单元还配置为，在经所述比较单元比较以确定所述第一比值等于所述第二比值时，保持所述灰阶区域的灰阶值不变。
  13. 一种显示装置，包括如权利要求7-12中任一项所述的图像处理装置。
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