Improved Histogram equalization low-illumination image enhancement algorithm

A histogram equalization and image enhancement technology, applied in the field of computer vision, to achieve the effect of maintaining information, good visual effect, and avoiding excessive merging

Inactive Publication Date: 2017-05-10
HUNAN VISION SPLEND PHOTOELECTRIC TECH
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  • Abstract
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  • Application Information

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is: aiming at the specific problem of low-illuminance imaging, in order to improve the contrast of the image and the clarity of local details and obtain better visual effects, a low-illuminance image enhancement algorithm based on improved histogram equalization is proposed

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  • Improved Histogram equalization low-illumination image enhancement algorithm

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Embodiment Construction

[0043] Taking a common single low-illuminance image as an example, the present invention will be further described in detail in conjunction with the accompanying drawings.

[0044] Compared with the equalization and enhancement of the global histogram, the present invention first uses the local information to enhance the contrast, and then processes the global histogram with an improved equalization algorithm, which has better visual effect.

[0045] The first step: Calculate the contrast parameter p of the image H(x) to be processed according to formula (1).

[0046]

[0047] Among them, x is the gray value of a point in the original image, and x e is the gray mean value of the eight neighbors around x, L max is the maximum gray level.

[0048] Second step: find out the enhancement contrast parameter p ' of new image according to mapping function f (x), namely p '=f (p);

[0049] The selection of the mapping function f(x) plays a key role in the processing effect of the...

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Abstract

The invention relates to the field of computer vision and specifically discloses an improved histogram equalization low-illumination image enhancement algorithm. The algorithm is characterized by, to begin with, calculating contrast parameters p of an image to be processed H(x) according to a formula based on an original image, and calculating p' through a contrast mapping function f(x); obtaining a new gray value according to a formula, and obtaining an image H' (x) obtained after contrast enhancement processing; carrying out grayscale merging method improvement on the H' (x); and finally, carrying out histogram equalization through histogram grayscale spacing improvement to obtain an image G(i) obtained after final processing. The algorithm takes both overall effects and local details into consideration, so that image information is kept to a greater extent, and meanwhile, image brightness is improved; and a better visual effect is obtained.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to a low-illuminance image enhancement algorithm based on improved histogram equalization. Background technique [0002] Due to insufficient light during photography or monitoring, the image will be too dark, resulting in low contrast, large noise, and uneven illumination in the picture, resulting in low-light images. Low-illumination images have a narrow range of grayscale, high spatial correlation of adjacent pixels, and insignificant grayscale changes, which in turn affect subsequent image recognition, understanding, and judgment. Therefore, it is of great significance to enhance low-illumination images. [0003] The gray level difference of the details of the low-illumination image is only within tens of levels, and the gray value of the image is low. Therefore, it is hoped that through an image enhancement process, the entire image can be clearly seen and local details can be hi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/40
CPCG06T5/40
Inventor 颜微马昊辰冉骏
Owner HUNAN VISION SPLEND PHOTOELECTRIC TECH
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