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Global histogram equalization image enhancement method

A technology of histogram equalization and image enhancement, applied in image enhancement, image data processing, instruments, etc., can solve the problems of under-enhancement and over-enhancement, and achieve the effect of efficient execution, improved image details, and low algorithm complexity.

Pending Publication Date: 2021-02-26
HUAQIAO UNIVERSITY
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Problems solved by technology

[0004] The main purpose of the present invention is to overcome the above-mentioned defects in the prior art, and propose a system framework method for global histogram equalization, which is used to solve the shortcomings of traditional histogram equalization, such as over-enhancement and under-enhancement, so that the equalized image after processing Become comfortable and natural, closer to the brightness perception of human eyes

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[0041] S1: Perform mean normalization on the global histogram of the input image, use the image mean to divide the global histogram into two left and right sub-histograms, and traverse the gamma value at a set step, and use the gamma value of each traverse to Correcting the global histogram to obtain each corrected global histogram;

[0042] Mean value normalization input histogram hist, that is, normHist=hist / row / col*DRange, the global histogram normHist after mean value normalization is divided into two parts with the image pixel mean value imgMean as the segmentation point, the left sub-histogram leftHist and the right sub-histogram The sub-histogram rightHist, their dynamic ranges are respectively recorded as leftDR and rightDR;

[0043] S2: Correct the global histogram according to the changed gamma value, calculate the difference between the value sum of the left and right sub-histograms, record the gamma value with the smallest difference as the best gamma value, and us...

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Abstract

The invention discloses a global histogram equalization image enhancement method, which comprises the following steps of: performing mean normalization on a histogram of an input image, dividing the histogram into a left sub-histogram and a right sub-histogram, traversing gamma values by setting stepping, and correcting the global histogram; calculating the size difference between the left sub-histogram and the right sub-histogram, recording the corresponding gamma value as the optimal gamma value, and processing the global histogram by using the optimal gamma value; determining a second gammavalue according to the optimal gamma value, and further correcting the data smaller than 1 in the global histogram by using the second gamma value; calculating the sizes of a left sub-histogram and aright sub-histogram obtained by using the adaptive gamma correction model, and adjusting the sub-histograms according to the size difference of the left sub-histogram and the right sub-histogram; balancing the adjusted global histogram to obtain a result image. According to the method, the defects of over-enhancement, under-enhancement and the like of traditional histogram equalization are overcome, so that the equalized image after processing becomes comfortable and natural and is closer to human eye brightness perception.

Description

technical field [0001] The invention relates to the field of image enhancement, in particular to an image enhancement method for global histogram equalization. Background technique [0002] Image enhancement plays an important role in improving the visual perception of digital images. It not only improves the appearance of images, but also reveals the details of images with abnormal brightness. The traditional histogram equalization is the most widely used image enhancement method, which uses the cumulative density function of the image to map the narrower gray-level range to a wider gray-level range, thereby generating a uniform probability distribution function and realizing image entropy of maximization. However, due to the existence of dominant gray levels, the processed image has over-enhancement and under-enhancement. In addition, it can produce some undesirable artifacts such as noise amplification, edge effects, and change the brightness of the original image, so t...

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Application Information

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IPC IPC(8): G06T5/40G06T5/00
CPCG06T5/40G06T5/92Y02D10/00
Inventor 戴声奎袁琪陈献志高剑萍
Owner HUAQIAO UNIVERSITY
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