基于光补偿和逐像素透射率的图像复原算法

doi:10.11959/j.issn.1000-436x.2017099

Abstract

Abstract:

Aiming at image degradation in hazy and sandstorm weather,an optical compensation color restoration and pixel-by-pixel transmissvity estimation algorithm was proposed.The blue light was absorbed by sandstorm particles.The color shift phenomenon could be eliminated by optical compensate method,which convert the sandstorm images into hazy images.Then the ratio relationship between the minimum channel and its Gaussian function as the transmissivity,and median filter was used to eliminate its texture effects.The depth of the restored transmissivity alternated obviously and the edge was well preserved,which did not need the time-consuming postprocessing operativity.Finally,the image was restored by the atmospheric scattering model.The experimental results show that recovered sandstorm image treatment is better,and the saturation of the haze image is appropriate,the bright area is more nature,and running time is faster.

Key words: optical compensate color restoration, transmissivity, atmospheric scattering model, dehaze

CLC Number:

TP391

Yan YANG,Gao-ke CHEN. Single image visibility restoration using optical compensation and pixel-by-pixel transmission estimation[J]. Journal on Communications, 2017, 38(5): 48-56.

Figures/Tables 14

实验图像		文献[17]方法			文献[7]方法			文献[5]方法			本文方法
实验图像	e	τ	$\bar{r}$	e	τ	$\bar{r}$	e	τ	$\bar{r}$	e	τ	$\bar{r}$
图8(a)左图	—	—	—	—	—	—	0.34	0.02	1.18	0.96	0	1.50
图9(a)	0.08	0.01	2.28	0.04	0.020	1.23	0.08	0.01	1.33	0.14	0	1.37
图10(a)	?0.14	0.02	2.34	?0.06	0.086	1.32	0.06	0	1.42	0.09	0	1.42
图11(a)	?0.08	0.01	2.08	0.03	0	1.27	0.06	0	1.42	0.09	0	1.66
图12(a)	?0.04	0.01	1.78	0.08	0.060	1.24	0.06	0	1.38	0.12	0	1.51
图13(a)	0.03	0.02	2.04	-0.02	0	1.16	0.09	0.01	1.24	0.08	0	1.47

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