Defogging method based on image enhancement

An image enhancement and image technology, applied in the field of image processing, can solve the problems of large amount of calculation and insufficient versatility, and achieve the effect of expanding the range
CN110223253AActive Publication Date: 2019-09-10JIANGSU UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
JIANGSU UNIV OF SCI & TECH
Publication Date
2019-09-10

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Abstract

The invention discloses a defogging method based on image enhancement, and the method comprises the steps: carrying out the HSV transformation of a color foggy image, and obtaining the components of brightness, chromaticity, and saturation; performing power operation on the brightness component and the saturation component respectively, and performing dynamic stretching on the brightness componentand the saturation component after operation; synthesizing the stretched brightness component and saturation component with the original chroma component into an RGB image, and converting the RGB image into a grayscale image; solving corresponding image parameters, calculating a normal distribution function value to serve as a brightness index, and adding all the normalized indexes to serve as the evaluation of the defogging effect of each combination; selecting the power exponent corresponding to the tensile combination with the best evaluation index as the power exponent of the subsequent defogging power operation; and then, operating the tensile combination evaluation algorithm again, and searching the changed optimal power exponent combination. Aiming at the influence of fog on the image, the optimal power exponent of the brightness component and the saturation component is determined by calculating the power drawing of the brightness component and the saturation component and evaluating the defogged image.
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Description

technical field

[0001] The invention belongs to image processing technology, and in particular relates to a method for defogging based on image enhancement. Background technique

[0002] Rainy and foggy weather will cause obstacles to traffic monitoring, intrusion monitoring systems, and drone aerial photography measurements through images, making the functions weak or even impossible. It will decrease a lot, the brightness of most areas will increase, the brightness of a few areas will decrease, and the change of chromaticity is uncertain, so the dehazing algorithm is called a research hotspot.

[0003] Dehazing algorithms can be roughly divided into two categories, one is an algorithm based on image enhancement, and the other is an algorithm based on a physical model of image imaging. Conventional enhancement methods based on image enhancement include Gamma correction, histogram equalization, homomorphic augmentation analysis, and wavelet-based multi-scale enhancement, et...

Claims

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