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Retinex low-illumination color image enhancement method based on variation constraint

A color image, variational constraint technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of loss of details in the highlighted area of ​​the enhanced image, inaccurate estimation of the illumination image, and insufficient contrast enhancement in the low-brightness area.

Active Publication Date: 2019-06-11
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
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Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that the existing methods for estimating the illuminance image are not accurate enough, some texture information is also included in the illuminance image, resulting in the loss of details in the highlighted area of ​​the enhanced image, and insufficient enhancement of the contrast in the low luminance area. The invention provides a Retinex low-illuminance color image enhancement method based on variational constraints

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  • Retinex low-illumination color image enhancement method based on variation constraint
  • Retinex low-illumination color image enhancement method based on variation constraint
  • Retinex low-illumination color image enhancement method based on variation constraint

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Embodiment 1

[0083] Such as figure 1 As shown, the present embodiment provides a Retinex low-illuminance color image enhancement method based on variational constraints, comprising the following steps:

[0084] S1: will be as figure 2 The original color image S shown is transformed from RGB space to HSV space, and the image with intensity channel V is extracted as image 3 The grayscale image I shown is specifically:

[0085] S1.1: Get the original color image Among them, m and n are the length and width of the original color image, respectively;

[0086] S1.2: Convert the original color image S from the RGB space to the HSV space according to the RGB conversion HSV algorithm, and extract the image of the intensity channel V as the grayscale image I;

[0087] S2: Use the extracted grayscale image I to construct the conductance weight matrix W, specifically:

[0088] S2.1: Construct two Gaussian templates with different scales, and subtract the small-scale Gaussian template from the ...

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Abstract

The invention discloses a Retinex low-illumination color image enhancement method based on variation constraint, and relates to the technical field of color image processing, the method comprises thefollowing steps: converting an original color image from an RGB space to an HSV space, and extracting an image of an intensity channel V as a grayscale image; constructing a conductivity weight matrixby using the extracted grayscale image; constructing an objective function by using an energy minimization principle, inputting the grayscale image and the conductance weight matrix into the objective function, and solving the objective function by using an alternating direction multiplier method to obtain an illumination image; Separating a reflection component from the original color image according to the illumination image to obtain a reflection image; The gray level image is reconstructed by using the illumination image and the reflection image; According to the method, the boundary of the image is well reserved, so that the estimated illumination image is more accurate, the reflection image contains more internal details and texture features of the image, the contrast ratio of the enhanced image is improved, and the details of the high-brightness position of the image are reserved.

Description

technical field [0001] The invention relates to the technical field of color image processing, and more particularly relates to a Retinex low-illuminance color image enhancement method based on variation constraints. Background technique [0002] Low-illuminance color images are low-light images taken in dark environments due to the limitations of light and image acquisition equipment. This kind of image is characterized by low brightness, high noise, and unclear details, which is difficult for the human eye to reproduce. Observation or recognition of computer systems, so it is necessary to process low-illuminance images to obtain higher-definition images. Image enhancement technology plays an important role in improving image quality. Through image enhancement, the brightness, contrast and detail information in the image can be improved, so that the enhanced image can better conform to the observation rules of the human eye and the computer image processing system. require...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06N3/04
Inventor 蒲恬王崇宇于璐阳彭凌冰彭真明何艳敏赵学功兰岚杨春平
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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