CN108364271B - Method and device for improving image contrast - Google Patents

Method and device for improving image contrast Download PDF

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CN108364271B
CN108364271B CN201810055229.3A CN201810055229A CN108364271B CN 108364271 B CN108364271 B CN 108364271B CN 201810055229 A CN201810055229 A CN 201810055229A CN 108364271 B CN108364271 B CN 108364271B
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target image
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brightness
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CN108364271A (en
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张金泉
金波
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Kunshan Govisionox Optoelectronics Co Ltd
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Kunshan Govisionox Optoelectronics Co Ltd
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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
    • G06T5/40—Image enhancement or restoration by the use of histogram techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
    • G09G5/10—Intensity circuits

Abstract

The application discloses a method and a device for improving image contrast, wherein the method comprises the following steps: determining the average brightness of the target image; determining a correction curve corresponding to the target image according to the average brightness of the target image; and performing brightness correction on the target image according to the correction curve. The method and the device can effectively improve the contrast of the target image and improve the display effect of the target image in the OLED.

Description

Method and device for improving image contrast
Technical Field
The present application relates to the field of flat panel display technologies, and in particular, to a method and an apparatus for improving image contrast.
Background
An Organic Light-Emitting Diode (OLED) has a self-Light Emitting characteristic, and is simple in structure, Light, thin, fast in response speed, large in viewing angle, high in Light Emitting efficiency, and capable of realizing flexible display, and is a flat panel display technology with great development prospects.
In practical applications, due to the self-luminous property of the OLED, a backlight is not generally disposed in the OLED display device, so that the dark-state luminance of the OLED is low. When a dark image (with low image brightness) is displayed in the OLED, the image displayed by the OLED is the dark image itself because no backlight exists, and the image contrast is low, which causes the problems of loss of details and reduction of the layering sense of the displayed image.
Disclosure of Invention
The embodiment of the application provides a method for improving the contrast of an image, which is used for solving the problem that the contrast of an image displayed by an OLED (organic light emitting diode) is low in the prior art.
The embodiment of the application provides a method for improving image contrast, which comprises the following steps:
determining the average brightness of the target image;
determining a correction curve corresponding to the target image according to the average brightness of the target image;
and performing brightness correction on the target image according to the correction curve.
Optionally, determining the average brightness of the target image comprises:
converting the color space of the target image into a YUV color space;
determining the brightness of each pixel in the target image according to the target image in the YUV color space;
and determining the average brightness of the target image according to the brightness of each pixel in the target image.
Optionally, determining a correction curve corresponding to the target image according to the average brightness of the target image includes:
if the average brightness of the target image is smaller than or equal to a first preset value, determining a first preset curve as the correction curve, wherein the first preset curve is used for improving the overall brightness of the target image;
if the average brightness of the target image is greater than or equal to a second preset value and less than or equal to a third preset value, determining a second preset curve as the correction curve, wherein the second preset curve is used for highlighting the brightness contrast details of the target image;
and if the average brightness of the target image is greater than or equal to a fourth preset value, determining a third preset curve as the correction curve, wherein the third preset curve is used for reducing the overall brightness of the target image.
Optionally, the method further comprises:
if the average brightness of the target image is larger than the first preset value and smaller than the second preset value, determining the correction curve according to the first preset curve and the second preset curve;
and if the average brightness of the target image is greater than the third preset value and less than the fourth preset value, determining the correction curve according to the second preset curve and the third preset curve.
Optionally, the method further comprises:
determining a histogram of the target image;
and judging whether the target image has brightness contrast or not according to the histogram of the target image, and if so, executing a step of determining a correction curve corresponding to the target image.
The embodiment of the present application further provides an apparatus for improving image contrast, including: a determination unit and a correction unit, wherein:
the determining unit is used for determining the average brightness of the target image;
the determining unit is further used for determining a correction curve corresponding to the target image according to the average brightness of the target image;
and the correction unit is used for performing brightness correction on the target image according to the correction curve.
Optionally, the determining unit determines an average brightness of the target image, including:
converting the color space of the target image into a YUV color space;
determining the brightness of each pixel in the target image according to the target image in the YUV color space;
and determining the average brightness of the target image according to the brightness of each pixel in the target image.
Optionally, the determining unit determines, according to the average brightness of the target image, a correction curve corresponding to the target image, including:
if the average brightness of the target image is smaller than or equal to a first preset value, determining a first preset curve as the correction curve, wherein the first preset curve is used for improving the overall brightness of the target image;
if the average brightness of the target image is greater than or equal to a second preset value and less than or equal to a third preset value, determining a second preset curve as the correction curve, wherein the second preset curve is used for highlighting the brightness contrast details of the target image;
and if the average brightness of the target image is greater than or equal to a fourth preset value, determining a third preset curve as the correction curve, wherein the third preset curve is used for reducing the overall brightness of the target image.
Optionally, the determining unit determines a correction curve corresponding to the target image according to the average brightness of the target image, and further includes:
if the average brightness of the target image is larger than the first preset value and smaller than the second preset value, determining the correction curve according to the first preset curve and the second preset curve;
and if the average brightness of the target image is greater than the third preset value and less than the fourth preset value, determining the correction curve according to the second preset curve and the third preset curve.
Optionally, the apparatus further comprises: a judging unit, wherein:
the determining unit is further used for determining a histogram of the target image;
the judging unit is further configured to judge whether brightness contrast exists in the target image according to the histogram of the target image.
The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects:
for a target image needing to be displayed through the OLED, the average brightness of the target image is determined, a correction curve corresponding to the target image is determined according to the average brightness of the target image, and then brightness correction is carried out on the target image according to the determined correction curve, so that the contrast of the target image is effectively improved, and the display effect of the target image in the OLED is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic flowchart of a method for improving image contrast according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of a first preset curve, a second preset curve, and a third preset curve provided in the present embodiment;
FIG. 3 is a schematic diagram of a full gray level partition according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an apparatus for improving image contrast according to an embodiment of the present disclosure.
Detailed Description
In order to achieve the purpose of the present application, an embodiment of the present application provides a method and an apparatus for improving image contrast, where the method includes: for a target image needing to be displayed through the OLED, the average brightness of the target image is determined, a correction curve corresponding to the target image is determined according to the average brightness of the target image, and then brightness correction is carried out on the target image according to the determined correction curve, so that the contrast of the target image is effectively improved, and the display effect of the target image in the OLED is improved.
The technical solutions of the present application will be described clearly and completely below with reference to the specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Example 1
Fig. 1 is a schematic flowchart of a method for improving image contrast according to an embodiment of the present disclosure. The method may be as follows.
Step 102: the average brightness of the target image is determined.
For a target image which needs to be displayed in the OLED, contrast adjustment processing is performed on the target image before output display.
In the embodiment of the present application, determining the average brightness of the target image includes:
converting the color space of the target image into a YUV color space;
determining the brightness of each pixel in a target image according to the target image in the YUV color space;
and determining the average brightness of the target image according to the brightness of each pixel in the target image.
In practical applications, the color space of the target image to be displayed in the OLED is generally an RGB color space, and the target image is converted from the RGB color space to a YUV color space.
The target image for the YUV color space contains Y, U, V three signal components, where the Y signal component represents luminance, i.e., a gray scale value. The gray scale is a change in luminance between the brightest and darkest, and is generally set to 0 to 255, and the higher the gray scale value is, the higher the luminance is.
From the Y signal component in the target image in the YUV color space, the luminance of each pixel in the target image, i.e., the gray-scale value of each pixel, can be determined.
After determining the gray scale value for each pixel in the target image, the average luminance of the target image is calculated according to the following formula:
Figure BDA0001553557980000051
in the embodiment of the present application, the method further includes:
determining a histogram of a target image;
and judging whether the target image has brightness contrast or not according to the histogram of the target image, and if so, executing the step of determining a correction curve corresponding to the target image.
In practical applications, the average brightness of the target image may not necessarily accurately reflect the brightness distribution of the target image, for example, all pixels in the target image a are 128 gray scales; half of the pixels in the target image b are in 0 gray scale and the other half of the pixels in the target image b are in 255 gray scale, and the average brightness of the target image a and the target image b is 128 gray scale, but no brightness contrast exists in the target image a, and the brightness contrast exists in the target image b.
In order to determine the brightness distribution condition of the target image more accurately, a histogram of the target image is determined, and the number of pixels of each brightness level in the target image, namely the number of pixels corresponding to each gray-scale value is determined according to the histogram, so that the brightness distribution condition in the target image is determined.
According to the histogram of the target image, whether the target image has brightness contrast or not can be determined, and for the target image without brightness contrast, subsequent processing is not needed, and the target image is directly output and displayed in an OLED (organic light emitting diode); for the target image with brightness contrast, it is determined whether the average brightness of the target image falls within the gray scale range with concentrated pixel number, if yes, step 104 is executed.
For a target image whose average brightness does not fall within the gray scale range with concentrated pixel number, it indicates that the average brightness of the target image cannot truly reflect the brightness distribution of the target image, and for such target image, it may be directly output without performing subsequent processing, or may be subjected to subsequent processing by executing step 104, or may be processed by using other contrast improvement methods, which is not specifically limited herein.
Step 104: and determining a correction curve corresponding to the target image according to the average brightness of the target image.
In the embodiment of the present application, determining a correction curve corresponding to a target image according to an average brightness of the target image includes:
if the average brightness of the target image is smaller than or equal to a first preset value, determining a first preset curve as a correction curve, wherein the first preset curve is used for improving the overall brightness of the target image;
if the average brightness of the target image is greater than or equal to a second preset value and less than or equal to a third preset value, determining a second preset curve as a correction curve, wherein the second preset curve is used for highlighting the brightness contrast details of the target image;
and if the average brightness of the target image is greater than or equal to a fourth preset value, determining a third preset curve as a correction curve, wherein the third preset curve is used for reducing the overall brightness of the target image.
In the embodiment of the present application, the method further includes:
if the average brightness of the target image is larger than a first preset value and smaller than a second preset value, determining a correction curve according to a first preset curve and a second preset curve;
and if the average brightness of the target image is greater than the third preset value and less than the fourth preset value, determining a correction curve according to the second preset curve and the third preset curve.
In practical application, three curves for correcting the target image are preset: the first preset curve, the second preset curve and the third preset curve.
Fig. 2 is a schematic diagram of a first preset curve, a second preset curve, and a third preset curve provided in the embodiment of the present application.
As shown in fig. 2, the abscissa is the gray level value before adjustment, and the range is 0 to 255; the ordinate is the adjusted gray scale value, and the range is 0-255.
As shown in fig. 2, for the first preset curve, the adjusted image gray scale is larger than the adjusted image gray scale, that is, the brightness of the image can be improved by the brightness correction of the first preset curve, and the method is suitable for performing the brightness correction on the image with overall lower brightness;
for the second preset curve, the adjusted gray scale of the part (the part with darker brightness) in the range of 0-132 gray scale in the image is lower than the gray scale before adjustment, and the adjusted gray scale of the part (the part with brighter brightness) in the range of 133-255 gray scale in the image is higher than the gray scale before adjustment, namely, the darker part and the brighter part in the image can be darker and the brightness contrast details can be highlighted through brightness correction of the second preset curve, so that the method is suitable for brightness correction of the image with the brighter part and the darker part.
For the third preset curve, the gray scale after the image adjustment is lower than the gray scale before the image adjustment, namely, the brightness of the image can be reduced through the brightness correction of the third preset curve, and the method is suitable for performing the brightness correction on the image with overall brighter brightness.
It should be noted that the first preset curve, the second preset curve, and the third preset curve may be preset according to an actual situation, and are not specifically limited herein.
For example, in a coordinate system formed by the pre-adjustment gray scale and the post-adjustment gray scale, a preset number of coordinate points are set, that is, a corresponding relationship between the pre-adjustment gray scale and the post-adjustment gray scale is set, and then a preset curve is obtained by fitting according to the preset number of coordinate points.
Before brightness adjustment is carried out on the target image, the target image passes through a first preset value x1A second preset value x2A third preset value x3A fourth preset value x4Dividing the full gray scale (0-255) into five sections, wherein: x is the number of1＜x2＜x3＜x4。
It should be noted that the first preset value x1A second preset value x2A third preset value x3A fourth preset value x4Can be determined according to practical conditions, and is not particularly limited herein.
FIG. 3 is a schematic diagram of a full gray scale partition according to an embodiment of the present application.
After determining the average brightness of the target image, if the average brightness of the target image is less than or equal to a first preset value x1Determining that the overall brightness of the target image is low, and therefore determining the first preset curve as a correction curve to improve the overall brightness of the target image;
if the average brightness of the target image is larger than or equal to a second preset value x2And is less than a third predetermined value x3Determining that the target image has a bright part and a dark part, and therefore determining the second preset curve as the correction curve to make the bright part brighter and the dark part darker in the target image so as to highlight the brightness contrast details of the target image;
if the average brightness of the target image is larger than the fourth preset value x4If so, determining that the overall brightness of the target image is higher, and therefore determining a third preset curve as a correction curve to reduce the overall brightness of the target image;
in addition, if the average brightness of the target image is greater than the first preset value x1And is less than a third predetermined value x2Determining a first comprehensive curve of the first preset curve and the second preset curve as a correction curve, wherein the first comprehensive curve is determined by the following formula:
Figure BDA0001553557980000081
if the average brightness of the target image is larger than the third preset value x3And is less than the fourth preset value x4Determining a second predetermined curve and a third predetermined curveIs a correction curve, wherein the second synthetic curve is determined by the following formula:
Figure BDA0001553557980000082
step 106: and performing brightness correction on the target image according to the correction curve.
After the correction curve is determined, brightness correction is performed on the target image according to the correction curve, that is, for the gray scale of each pixel in the target image, the corresponding gray scale after brightness correction is determined according to the correction curve, so that gray scale adjustment of each pixel in the target image is realized.
And outputting and displaying the target image subjected to brightness correction in the OLED.
For a sequence of image frames (e.g., video) to be displayed in the OLED, after brightness adjustment is performed on each image frame by the method described in step 102-106, the display is output in the OLED to increase the contrast of each image frame in the sequence of image frames and improve the display effect of the sequence of image frames in the OLED.
According to the technical scheme, for the target image needing to be displayed through the OLED, the average brightness of the target image is determined, the correction curve corresponding to the target image is determined according to the average brightness of the target image, and then brightness correction is carried out on the target image according to the determined correction curve, so that the contrast of the target image is effectively improved, and the display effect of the target image in the OLED is improved.
Example 2
Fig. 4 is a schematic structural diagram of an apparatus for improving image contrast according to an embodiment of the present disclosure. The apparatus 400 comprises: a determination unit 401 and a correction unit 402, wherein:
a determination unit 401 for determining an average luminance of the target image;
the determining unit 401 is further configured to determine a correction curve corresponding to the target image according to the average brightness of the target image;
and a correcting unit 402, configured to perform brightness correction on the target image according to the correction curve.
Alternatively, the determining unit 401 determines the average brightness of the target image, including:
converting the color space of the target image into a YUV color space;
determining the brightness of each pixel in a target image according to the target image in the YUV color space;
and determining the average brightness of the target image according to the brightness of each pixel in the target image.
Alternatively, the determining unit 401 determines, according to the average brightness of the target image, a correction curve corresponding to the target image, including:
if the average brightness of the target image is smaller than or equal to a first preset value, determining a first preset curve as a correction curve, wherein the first preset curve is used for improving the overall brightness of the target image;
if the average brightness of the target image is greater than or equal to a second preset value and less than or equal to a third preset value, determining a second preset curve as a correction curve, wherein the second preset curve is used for highlighting the brightness contrast details of the target image;
and if the average brightness of the target image is greater than or equal to a fourth preset value, determining a third preset curve as a correction curve, wherein the third preset curve is used for reducing the overall brightness of the target image.
Optionally, the determining unit 401 determines, according to the average brightness of the target image, a correction curve corresponding to the target image, and further includes:
if the average brightness of the target image is larger than a first preset value and smaller than a second preset value, determining a correction curve according to a first preset curve and a second preset curve;
and if the average brightness of the target image is greater than the third preset value and less than the fourth preset value, determining a correction curve according to the second preset curve and the third preset curve.
Optionally, the apparatus 400 further comprises: a judging unit, wherein:
a determining unit 401, configured to determine a histogram of the target image;
and the judging unit is also used for judging whether the target image has brightness contrast or not according to the histogram of the target image.
According to the image contrast improving device, the determining unit is used for determining the average brightness of the target image; the determining unit is further used for determining a correction curve corresponding to the target image according to the average brightness of the target image; the correction unit is used for performing brightness correction on the target image according to the correction curve, so that the contrast of the target image is effectively improved, and the display effect of the target image in the OLED is improved.
The present application has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices) according to embodiments of the application. While the preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims (6)

1. A method for improving image contrast, comprising:
determining the average brightness of the target image;
determining a correction curve corresponding to the target image according to the average brightness of the target image;
according to the correction curve, performing brightness correction on the target image;
wherein the determining a correction curve corresponding to the target image according to the average brightness of the target image includes:
if the average brightness of the target image is smaller than or equal to a first preset value, determining a first preset curve as the correction curve, wherein the first preset curve is used for improving the overall brightness of the target image;
if the average brightness of the target image is greater than or equal to a second preset value and less than or equal to a third preset value, determining a second preset curve as the correction curve, wherein the second preset curve is used for highlighting the brightness contrast details of the target image;
if the average brightness of the target image is larger than or equal to a fourth preset value, determining a third preset curve as the correction curve, wherein the third preset curve is used for reducing the overall brightness of the target image;
if the average brightness of the target image is larger than the first preset value x1And is less than a second predetermined value x2Determining a first comprehensive curve of the first preset curve and the second preset curve as a correction curve, wherein the first comprehensive curve is determined by the following formula:
Figure FDA0003103469050000011
if the average brightness of the target image is larger than the third preset value x3And is less than the fourth preset value x4Determining a second comprehensive curve of the second preset curve and the third preset curve as a correction curve, wherein the second comprehensive curve is determined by the following formula:
Figure FDA0003103469050000012
2. the method of claim 1, wherein determining the average brightness of the target image comprises:
converting the color space of the target image into a YUV color space;
determining the brightness of each pixel in the target image according to the target image in the YUV color space;
and determining the average brightness of the target image according to the brightness of each pixel in the target image.
3. The method of claim 1, wherein the method further comprises:
determining a histogram of the target image;
and judging whether the target image has brightness contrast or not according to the histogram of the target image, and if so, executing a step of determining a correction curve corresponding to the target image.
4. An apparatus for improving image contrast, comprising: a determination unit and a correction unit, wherein:
the determining unit is used for determining the average brightness of the target image;
the determining unit is further used for determining a correction curve corresponding to the target image according to the average brightness of the target image;
the correction unit is used for performing brightness correction on the target image according to the correction curve;
wherein the determining unit determines a correction curve corresponding to the target image according to the average brightness of the target image, and includes:
if the average brightness of the target image is smaller than or equal to a first preset value, determining a first preset curve as the correction curve, wherein the first preset curve is used for improving the overall brightness of the target image;
if the average brightness of the target image is greater than or equal to a second preset value and less than or equal to a third preset value, determining a second preset curve as the correction curve, wherein the second preset curve is used for highlighting the brightness contrast details of the target image;
if the average brightness of the target image is larger than or equal to a fourth preset value, determining a third preset curve as the correction curve, wherein the third preset curve is used for reducing the overall brightness of the target image;
if the average brightness of the target image is larger than the first preset value x1And is less than a second predetermined value x2Determining a first comprehensive curve of the first preset curve and the second preset curve as a correction curve, wherein the first comprehensive curve is determined by the following formula:
Figure FDA0003103469050000031
if the average brightness of the target image is larger than the third preset value x3And is less than the fourth preset value x4Determining a second comprehensive curve of the second preset curve and the third preset curve as a correction curve, wherein the second comprehensive curve is determined by the following formula:
Figure FDA0003103469050000032
5. the apparatus of claim 4, wherein the determining unit determines an average brightness of the target image, comprising:
converting the color space of the target image into a YUV color space;
determining the brightness of each pixel in the target image according to the target image in the YUV color space;
and determining the average brightness of the target image according to the brightness of each pixel in the target image.
6. The apparatus of claim 4, further comprising: a judging unit, wherein:
the determining unit is further used for determining a histogram of the target image;
the judging unit is further configured to judge whether brightness contrast exists in the target image according to the histogram of the target image.
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