Gamma correction based image contrast enhancement method

An image contrast and contrast technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of image noise amplification, inconspicuous contrast improvement, excessive calculation, etc., achieve noise suppression, improve subjective visual effects, The effect of brightness distribution improvement

Inactive Publication Date: 2018-12-07
北京莜桔西科技有限公司
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Problems solved by technology

However, these algorithms often face problems such as image noise amplification, inconspicuous improvement in contrast, or excessive calculations.

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  • Gamma correction based image contrast enhancement method
  • Gamma correction based image contrast enhancement method
  • Gamma correction based image contrast enhancement method

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specific Embodiment

[0073] In the embodiment of the present invention, an image contrast enhancement method based on Gamma correction provided by the present invention is used to figure 2 The original image shown is contrast-enhanced, where the bilateral filter window size, distance variance, and grayscale variance are set to 5, 30, and 30, respectively; denoising threshold T = 0.02, correction coefficient γ = 0.8, and the obtained relative detail image R Such as image 3 As shown, the final processed enhanced image is as follows Figure 4 shown. pass Figure 4 with figure 2 By comparison, it can be seen that the method provided by the present invention can effectively improve the subjective visual effect of the image: the noise of the image is effectively suppressed; the brightness distribution of the image is improved; the overall contrast of the image is improved. Therefore, the method provided by the present invention is effective, rational, feasible and scientific.

[0074] By adoptin...

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Abstract

The invention discloses a Gamma correction based image contrast enhancement method, and relates to the technical field of digital image processing. According to the method, wavelet decomposition is carried out on an input image to obtain a low-frequency image IA and three high-frequency images IH, IV and ID; adaptive Gamma correction is carried out on the low-frequency image IA to obtain a contrast enhanced low-frequency image; noises are removed from the high-frequency images IH, IV and ID respectively to obtain a noise removed high-frequency image; and wavelet inverse transformation is carried out on the contrast enhanced low-frequency image and the noise removed high-frequency image to obtain a reconstruction image. It is proved that the method can be used to overcome a subjective visual effect of the image effectively, inhibit the image noise effectively, improve brightness distribution of the image, and improve the integral contrast of the image.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to an image contrast enhancement method based on Gamma correction. Background technique [0002] Image enhancement is an important preprocessing step in image processing. It can effectively improve the quality of the image, improve the subjective visual effect of the image, and highlight its useful features. Gamma correction is one of the most widely used image enhancement algorithms. Gamma correction uses a power function to correct the gray level of the image to achieve the purpose of improving the brightness distribution of the image. But when the power exponent is small, the contrast of the Gamma-corrected image is often low. In order to solve this problem, researchers have proposed a large number of correction algorithms based on Gamma correction. However, these algorithms often face problems such as image noise amplification, inconspicuous contrast improve...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/002G06T5/009G06T2207/20064G06T2207/20182
Inventor 黄立冬
Owner 北京莜桔西科技有限公司
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