Method and device for performing histogram equalization processing on image

A technique of histogram equalization and histogram statistics, applied in the field of image processing, to achieve the effect of enhancing contrast

Active Publication Date: 2015-04-29
CRM ICBG (WUXI) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the existing histogram equalization schemes are aimed at the entire image to improve the overall contrast of the image. However, for real-time image acquisition and processing systems such as infrared or low-light night vision devices, the detail areas that human vision is most concerned about are generally in the entire image. The center position of the image, the above-mentioned existing histogram equalization scheme cannot realize the contrast enhancement processing of different regions of the image.

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  • Method and device for performing histogram equalization processing on image
  • Method and device for performing histogram equalization processing on image

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Embodiment 1

[0023] The embodiment of the present invention proposes a histogram weighted equalization method, so that the enhanced image conforms to the visual habit of human eyes.

[0024] This embodiment provides a processing flow of a method for performing histogram equalization processing on an image as follows: figure 1 As shown, the following processing steps are included:

[0025] Step S110, calculating the distance between each pixel point in the image and the central pixel point.

[0026] The embodiment of the present invention first needs to calculate the distance between each pixel point in the image and the central pixel point. Taking an image whose length is L and width is H as an example, the coordinates of the central pixel point O of the above image are (L / 2, H / 2). Assuming that the coordinates of a certain pixel point m in the image are (x, y), the distance between the above-mentioned certain pixel point M and the central pixel point O is:

[0027] D ...

Embodiment 2

[0062] This embodiment provides a device 300 for performing histogram equalization processing on images, and its specific implementation structure is as follows image 3 As shown, it can specifically include the following modules:

[0063] Distance calculation module 310, for calculating the distance between each pixel point in the image and the central pixel point;

[0064] The weight calculation module 320 is used to calculate the histogram statistical weight of each pixel in the image according to the distance between each pixel in the image obtained by the distance calculation module and the central pixel;

[0065] The weighted gray histogram statistics processing module 330 is used to perform weighted gray histogram statistics of each gray level on the image based on the histogram statistical weight of each pixel in the image obtained by the weight calculation module;

[0066] The histogram equalization processing module 340 is configured to perform histogram equalizatio...

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Abstract

An embodiment of the invention provides a method and a device for performing histogram equalization processing on an image. The method mainly comprises steps as follows: calculating the distance between each pixel point in the image and a center pixel point; calculating a histogram statistical weight of each pixel point in the image according to the distance between each pixel point in the image and the center pixel point; performing weighted grey level histogram statistics of each grey level on the image respectively according to the histogram statistical weight of each pixel point in the image; performing histogram equalization processing on the image according to a weighted grey level histogram statistic result of each grey level of the image. According to the embodiment, different statistical weights are adopted for the pixel points according to spatial distribution positions of the pixel points in the image, so that a vision concerned area of people, namely, a center area of the image, can be stressed in the processed image, differentiated contrast enhancement processing is performed on different areas of the image, and the contrast ratio of the vision concerned area in the image is effectively enhanced.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method and device for performing histogram equalization processing on images. Background technique [0002] Histogram equalization is a commonly used image enhancement method, and histogram statistics is an important step in histogram equalization. The process of histogram statistics mainly includes: according to the gray level of the input image, the whole image with the same gray value The number of pixels is accumulated one by one, and the histogram statistical result obtained after accumulation is the gray distribution of the input image, which objectively reflects the contrast of the input image. Histogram equalization calculates the ratio of the number of pixels of each effective gray value to the total number of pixels based on the statistical results of the above histogram, and then maps the gray range of the input image to improve the overall contrast ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/40
Inventor 梅平
Owner CRM ICBG (WUXI) CO LTD
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