Color image enhancement method based on histogram segmentation

A color image and histogram technology, applied in the field of image processing, can solve the problems of poor enhancement effect and large amount of calculation

Inactive Publication Date: 2015-04-29
BEIJING INST OF ENVIRONMENTAL FEATURES
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Problems solved by technology

[0008] In order to solve the problem that the existing color image enhancement method has a large amount of calculation or the enhancement effect is not good, the p

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  • Color image enhancement method based on histogram segmentation
  • Color image enhancement method based on histogram segmentation
  • Color image enhancement method based on histogram segmentation

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[0043] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0044] figure 1 A flow chart of a color image enhancement method based on histogram segmentation provided by an embodiment of the present invention, such as figure 1 As shown in , the method includes the following steps:

[0045] S1: Treat the R, G, and B component subimages of the enhanced color image according to the gray median value and the equal-area principle of the segmented histogram (that is, the R component subimage, the G component subimage, and the B component subimage have a total of 3 subimages). The gray level histogram of the quantum map) is divided twice in turn to obtain four gray level regions of each component submap of R, G, and B.

[0046] S2: Perform histogram equalization on the four gray-level regions of the R, G, and B compone...

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Abstract

The invention provides a color image enhancement method based on histogram segmentation, and relates to the field of image processing. The method is used for solving the problem that an existing color image enhancement method is large in calculated amount or poor in enhancement effect. The method comprises the steps that grey level histograms of component subgraphs R, G and B of a color image to be enhanced are segmented two times in sequence according to a gray level mid-value and the principle that the segmented histograms are equal in area; histogram equalization is carried out on four gray level areas, obtained after segmentation of the last step, of the component subgraphs R, G and B; the proportion of gray levels of all pixel points of the component subgraphs R, G and B of the color image to be enhanced to the total gray level number of the pixel points corresponding to the color image to be enhanced is calculated, and the component subgraphs R, G and B obtained in the last step after histogram equalization are synthesized according to the calculated proportion. According to the scheme, the calculation complexity is low, and the image enhancement effect is good.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a color image enhancement method based on histogram segmentation. Background technique [0002] Image enhancement technology can improve the visual effect of the image, aiming at the application of a given image, purposely emphasize the overall or local characteristics of the image, make the original unclear image clear or emphasize some interesting features, and enlarge the image. The difference between the features of different objects suppresses uninteresting features to improve image quality, enrich the amount of information, enhance image interpretation and recognition effects, and meet the needs of some special analysis. Therefore, it has developed rapidly in recent years. [0003] At present, there are mainly the following methods for color image enhancement in the industry: [0004] 1. First convert the image from the RGB color space to the H IS color space, and then enh...

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Application Information

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IPC IPC(8): G06T5/40
Inventor 周刊
Owner BEIJING INST OF ENVIRONMENTAL FEATURES
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