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Method for enhancing color image contrast ratio on basis of variation frame

A color image and contrast technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of evaluating the effectiveness of algorithms relying on the objective perception of human eyes and not having uniform image quality

Inactive Publication Date: 2012-09-19
SOUTHEAST UNIV
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  • Summary
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Problems solved by technology

Image feature enhancement mainly includes the processing of contrast, brightness, color, etc. At present, there is no unified objective standard to measure the quality of the image, and the effectiveness of the evaluation algorithm mainly depends on the objective perception of the human eye

Method used

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  • Method for enhancing color image contrast ratio on basis of variation frame
  • Method for enhancing color image contrast ratio on basis of variation frame
  • Method for enhancing color image contrast ratio on basis of variation frame

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Embodiment Construction

[0059] In a specific embodiment, the detailed process of the image enhancement algorithm based on the variational frame model will be clearly and completely described in conjunction with the accompanying drawings,

[0060] A method for color image contrast enhancement based on a variational framework, which follows the steps below:

[0061] Step 1: Initialize, read in a frame size M 1 × M 2 ×3 color image S in low visibility weather in , where M 1 and M 2 is a positive integer, respectively representing the number of rows and columns of the image matrix, and then converts the input color image from the RGB color space to the YCbCr color space, and the converted image is denoted as S T , size M 1 × M 2 ×3, take S T In the Y component image, denoted as S Y , size M 1 × M 2 , and put S Y Arranged in rows into size M 1 m 2 ×1 column vector, the rearranged image is denoted as The specific process of converting from RGB color space to YCbCr color space is:

[0062] ...

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Abstract

The invention discloses a method for enhancing the color image contrast ratio on the basis of a variation frame, comprising the following steps: 1, initializing a read-in image, and converting an input RGB (Red Green and Blue) image into YCbCr color space; 2, carrying out down sampling on the Y component of the color image in the YCbCr color space; 3, building the imaging model of the image, and converting the imaging model into a logarithm domain; 4, calculating a luminosity image by a variation frame model; 5, subtracting the luminosity image from the input image to obtain the reflection information of the image; 6, taking an index from the reflection image; 7, reducing the reflection image to the size of the original image by the interpolation algorithm; and 8, combining the obtained reflection image with Cb and Cr components, and carrying out inverse transformation on the reflection image combined with the Cb and Cr components into RGB space to serve as an output result. In the method, the variation frame model processes the color image in the weather with low visibility, and image quality is obviously improved. Compared with the traditional image enhancement method, the method disclosed by the invention has the advantages of high processing speed, high algorithm stability, wide use range and good image enhancing effect.

Description

technical field [0001] The invention belongs to the technical field of digital image enhancement, and in particular relates to a color image enhancement method based on a variational framework. Background technique [0002] The main purpose of image enhancement is to enable the human eye to obtain better visual effects, or to facilitate computer system recognition to meet the system's needs for image information. Image feature enhancement mainly includes the processing of contrast, brightness, color, etc. At present, there is no unified objective standard for measuring image quality, and the effectiveness of evaluation algorithms mainly depends on the objective perception of human eyes. Image enhancement methods can basically be divided into two categories: spatial domain processing and frequency domain processing. Spatial domain processing is to directly perform data operations on the original image, and frequency domain processing refers to transforming the original image...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 路小波曾维理杨黎徐千州
Owner SOUTHEAST UNIV