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Non-uniform illumination color image correction method based on region division

A color image and area division technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as inability to enhance local details, uneven image illumination distribution, etc., to achieve overall visual effect improvement, regional contrast enhancement, Ease of standardization

Pending Publication Date: 2022-04-12
NANJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Purpose of the invention: In order to overcome the deficiencies in the prior art, the present invention provides a method for correcting color images with non-uniform illumination based on area division, through which the method and system can correct and enhance the contrast of images with uneven illumination, specifically a method based on The non-uniform illumination color image correction method of regional division can be used to solve the problem of uneven illumination distribution of the image caused by ambient light intensity, light irradiation angle or shooting conditions. The algorithm can enhance the contrast of the image in a targeted manner, overcoming the traditional The algorithm cannot enhance the local details, taking into account the real light distribution of the original scene of the image and the light and dark areas of the image, so that the overall and local contrast of the enhanced image is significantly enhanced. At the same time, this algorithm has better performance for colors with different brightness levels. applicability

Method used

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  • Non-uniform illumination color image correction method based on region division
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  • Non-uniform illumination color image correction method based on region division

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Embodiment 1

[0132] Example 1: Combining figure 1 Description The present invention provides a method for correcting color images with non-uniform illumination based on region division, which includes the following working steps:

[0133] Step 1: Input an image, and check whether the image format of the input image satisfies the HSV image mode;

[0134] Step 2: Convert the RGB mode image that does not meet the format requirements from the RGB color space to the HSV color space;

[0135] Perform channel separation on the obtained HSV image to obtain the brightness V channel brightness to be corrected;

[0136] The input image in this embodiment does not meet the format requirements, and is an RGB color image, so it is converted into an image under the HSV color space mode, and the brightness V channel brightness I is extracted. v ;

[0137] Step 3: Calculate the average brightness value of the V channel. If the average brightness value of the V channel is less than the restricted thresho...

Embodiment 2

[0241] The original image input in the embodiment is in RGB image format; converted into HSV image format, and then the implementation method of the adaptive non-uniform illumination image correction based on area division in embodiment 2 is exactly the same as the method step in embodiment 1, in In step 3, calculate the average brightness value of the V channel to be corrected. If the average brightness value of the V channel is less than the restricted threshold, the output condition is met, and then the brightness image of the V channel with restricted brightness is output; if the average brightness value of the V channel is greater than the restricted threshold, it is reversed Make it meet the output conditions;

[0242] where the restricted threshold Furthermore, the range of the mean value of the brightness-limited V-channel brightness image is [0, 0.6. The mean value of the brightness of the input V channel in this case According to the formula (1), it can be judged...

Embodiment 3

[0245] In the embodiment, the input original image is in RGB image format; it is converted into HSV image format, and then the implementation method of the self-adaptive non-uniform illumination image correction based on region division in the present embodiment 3 is the same as the steps of embodiment 1 and embodiment 2, In step 3, calculate the average brightness value of the V channel to be corrected. If the average brightness value of the V channel is less than the limited threshold, the output condition is met, and then output the brightness image of the V channel with limited brightness; if the average brightness value of the V channel is greater than the restricted threshold, then take On the contrary, it satisfies the output condition;

[0246] where the restricted threshold Furthermore, the range of the mean value of the brightness-limited V-channel brightness image is [0, 0.6. The average value of the brightness of the V channel to be corrected in this case Accor...

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Abstract

The invention discloses a non-uniform illumination color image correction method based on region division. The method comprises the following steps: firstly, converting an input color image from an RGB color space to an HSV color space; then separating V-channel brightness values and calculating a mean value of the V-channel brightness values; if the V-channel brightness mean value is greater than a set limited threshold value, performing three parallel processing after image negation, otherwise, directly performing the three parallel processing to obtain region segmentation, neighborhood information and illumination components so as to construct an adaptive Gamma correction index; then correcting the image by using a self-adaptive Gamma correction index; and finally, performing color restoration on the corrected image according to the color of the original image. According to the method, the problem of non-uniform image illumination distribution caused by environment illumination intensity, light illumination angles or shooting conditions can be solved.

Description

technical field [0001] The invention belongs to the technical field of image enhancement, and in particular relates to a non-uniform illumination color image correction method based on region division. Background technique [0002] Image enhancement processing is an important branch of digital image processing technology. Image enhancement is to emphasize or sharpen certain features of the image, such as edges, contours, contrast, etc., for easy display, observation, or further analysis and processing. In the process of image acquisition, due to the uneven lighting of the shooting environment, the captured images are unevenly exposed or underexposed, and some important details cannot be highlighted or even covered up. In order to improve the visual effect of the image, it is necessary to carry out correction. [0003] Gamma transform is a commonly used image enhancement method, which can selectively enhance the brightness of low-brightness areas or reduce the brightness of ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/11G06T7/90
Inventor 陈刚喻春雨孙宁宁
Owner NANJING UNIV OF POSTS & TELECOMM
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