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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

Active Publication Date: 2019-09-10
JIANGSU UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004]The above-mentioned existing image enhancement-based algorithms need to accurately estimate the sky area, and need to estimate the transmittance according to the target distance, etc., which requires a large amount of calculation and is not universal enough

Method used

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  • Defogging method based on image enhancement
  • Defogging method based on image enhancement
  • Defogging method based on image enhancement

Examples

Experimental program
Comparison scheme
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Embodiment

[0031] Embodiment: This example is realized in maltabR2014a software. Complete as follows:

[0032] (1) The RGB foggy image that will be collected (such as figure 2 As shown) convert to HSV image by rgb2hsv() function, extract chroma component h, saturation component s and brightness component v, and calculate the mean value s1 of saturation;

[0033] (2) Power operation is performed on the saturation component s and the brightness component v respectively, s=s i , v=v j , where i=1:5, j=1:5, use the imadjust() function to adjust s and v to the interval [0,1], use the adjusted saturation component s and brightness component v to match the original Combination of chroma h components, use the hsv2rgb() function to convert these three component data into RGB images, such as image 3 As shown, there are 25 stretch combinations in this embodiment;

[0034](3) Calculate the gradient mean G, information entropy E, contrast C, saturation mean SE, and brightness mean HE of the im...

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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.

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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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/10024G06T2207/30168G06T5/73
Inventor 李忠国吴昊宸唐炜迟睿王佳卢道华王琪朱鹏程
Owner JIANGSU UNIV OF SCI & TECH
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