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Self-adaptive image contrast enhancement method based on histograms

An image comparison and histogram technology, which is applied in image enhancement, image data processing, instruments, etc., can solve the problems of image over-enhancement and affecting image quality, etc.

Inactive Publication Date: 2012-06-13
SICHUAN PANOVASIC TECH
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a histogram-based adaptive image contrast enhancement method to avoid excessive image enhancement and affect image quality

Method used

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  • Self-adaptive image contrast enhancement method based on histograms
  • Self-adaptive image contrast enhancement method based on histograms
  • Self-adaptive image contrast enhancement method based on histograms

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Embodiment Construction

[0040] The specific embodiments of the present invention are described below with reference to the accompanying drawings, so that those skilled in the art can better understand the present invention. It should be noted that, in the following description, when the detailed description of known functions and designs may dilute the main content of the present invention, these descriptions will be omitted here.

[0041] For the enhancement method of image contrast, in addition to considering images with general grayscale distribution, some extreme images should also be considered. For example, when the number of grayscale levels in the image is very small, such images will not be enhanced by judgment to avoid excessive enhancement of the image. On the contrary, the purpose of image enhancement is lost.

[0042] figure 1 This is the flow chart of the histogram-based adaptive image contrast enhancement method of the present invention.

[0043] The first step of the histogram-based...

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Abstract

The invention discloses a self-adaptive image contrast enhancement method based on histograms, which is used to judge whether image gray scales are concentrated based on the total number of pixels corresponding to several continuous gray scales on contraction histograms and traverse histograms. For images with concentrated gray scales, namely the images with the total number more than a threshold, contrast enhancement operations cannot be performed so as to avoid image quality transformation after enhancement. Then the minimum key gray scale, a mid-value key gray scale and a maximum key gray scale are obtained through transformation based on a minimum gray scale, a maximum gray scale and a gray scale average value obtained by the contracted histograms. Finally, space mapping relationships are established based on four spaces divided by the minimum key gray scale, the mid-value key gray scale and the maximum key gray scale for the minimum gray scale, the gray scale average value and the maximum gray scale, a lookup table for image contrast enhancement is obtained, and image contrast is enhanced for input images based on the lookup table. Therefore, excessive enhancement of image contrast is avoided based on distribution conditions of image histograms and self-adaptive regulation mapping relationships.

Description

technical field [0001] The invention belongs to the technical field of video image enhancement processing, and more particularly, relates to a histogram-based adaptive image contrast enhancement method. Background technique [0002] Image contrast enhancement is one of the important technologies in the field of digital image processing. By adjusting the distribution of image gray levels, the visual distance between each pixel can be increased, blurred objects can be easily identified, and the viewing quality of images can be improved. [0003] There are two main types of image contrast enhancement methods: spatial domain method and frequency domain method. The spatial method mainly processes the grayscale of the image directly in the spatial domain; the frequency domain method is to modify the transform coefficient value of the image in a certain transform domain of the image, and then obtain the enhanced image through inverse transformation. Frequency domain methods belong...

Claims

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Application Information

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IPC IPC(8): G06T5/40
Inventor 刘强刘成强鲁国宁
Owner SICHUAN PANOVASIC TECH
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