Adaptive brightness unevenness variation correction method based on variation framework

A technology of uneven brightness and correction method, used in image analysis, image data processing, instruments, etc., can solve the problems of blurred edges, lost details, and blurred edges of images corrected by uniform light, so as to maintain edge features and eliminate edge blurring. and loss of detail effects

Active Publication Date: 2017-07-25
10TH RES INST OF CETC
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Therefore, after the logarithmic transformation of the observed image, the edge and detail information of the bright area will be blurred and lost, and an important information contained in the image reflectance is the edge information in the image, so the Retinex transformation established based on the logarithmic transformation The homogenization correction image calculated by the sub-calibration model will have blurred edges and loss of details, such as the TVRE method proposed by M

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  • Adaptive brightness unevenness variation correction method based on variation framework
  • Adaptive brightness unevenness variation correction method based on variation framework
  • Adaptive brightness unevenness variation correction method based on variation framework

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[0065] Figure 4 It is a schematic diagram of the comparison experiment of Wuhan image level simulation degraded homogenization correction; Figure 4 a is the acquired image of Wuhan, Figure 4 b is the horizontal simulated degradation image; Figure 4 c is the uniform light correction image of the TVRE method proposed by Michael et al.; Figure 4 d is the uniform light correction image proposed by Lan Xia et al. by the SARV method; Figure 4 e is an adaptive brightness unevenness variation correction image according to the present invention.

[0066] Figure 5 It is a comparison diagram of Wuhan image vertical simulation degraded uniform light correction experiment; Figure 5a is the acquired image of Wuhan, Figure 5 b is the vertical simulated degraded image; Figure 5 c is the uniform light correction image of the TVRE method proposed by Michael et al.; Figure 5 d is the uniform light correction image proposed by Lan Xia et al. by the SARV method; Figure 5 e is ...

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Abstract

The invention discloses an adaptive brightness unevenness variation correction method based on a Retinex variation framework and aims to provide an adaptive correction method to realize no logarithm transformation, eliminate a non-uniform image brightness phenomenon and effectively keep image colors and the detailed information. The method is characterized in that an optical imaging detection system is utilized to acquire an uneven degeneration image as an observation image; an adaptive weight function is constructed according to space characteristics of the observation image; an original Retinex theory is utilized to construct a variation correction model, total variation regularization constraint intensities of a reflection component in the variation correction model at different pixel points are adaptively controlled through the weight function, and a mean value of the reflection component is employed to approximate gray mean constraints to prevent local overexposure; a split Bregman iteration method and an alternative minimization method are then utilized to solve the variation correction model to acquire an illumination component and the reflection component, and the reflection component is lastly rounded to acquire a correction image.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to an adaptive brightness uneven variation correction method based on a Retinex variation framework. Among them, the Retinex variational framework means to use the variational method to solve the Retinex theory, which is commonly used in uniform light variational image processing. Background technique [0002] With the rapid development of computer technology and image processing technology, image / video-based working systems have penetrated into all walks of life, such as target recognition, automatic navigation, intelligent monitoring, terrain survey, automatic driving and civilian shooting and other fields. , has played a role that cannot be ignored in national economic and social development. However, in the imaging process of the sensor, due to the influence of environmental factors such as atmosphere and light as well as the internal factors of the...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/003G06T5/006G06T2207/10004G06T2207/10016
Inventor 左芝勇康荣雷兰霞杨少帅熊杰李阳安毅
Owner 10TH RES INST OF CETC
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