基于变异鸡群优化透射率估计的去雾算法

doi:10.16180/j.cnki.issn1007-7820.2024.11.004

Abstract

Abstract:

In foggy weather, the collected pictures have the problems of reduced clarity and color distortion. In order to obtain haze-free images with high quality, a hybrid dark channel prior algorithm is proposed in this study. The proposed algorithm employs Retinex algorithm to remove the interference of the illumination component. The variant chicken swarm optimization algorithm is used to obtain the guidance image required by the guided filter to optimize the atmospheric transmittance. The improved dark channel prior algorithm is used to obtain the fog removal image. Compared with other dark channel prior defogging algorithms, the mean standard deviation of the proposed method is reduced by 28.3%, the mean peak signal-to-noise ratio is increased by 10.3% and the mean entropy is increased by 8.0%. In this study, the pictures of different haze levels under the same scene are tested. The results show that the pictures are clear, the details are intact, and the evaluation standard values are basically stable. The above test results indicate that the proposed algorithm has high robustness and color fidelity capabilities.

Key words: image defogging, hybrid dark channel prior algorithm, variant chicken swarm optimization algorithm, transmissivity, atmospheric light intensity, Retinex, atmospheric scattering model, guided filtering

CLC Number:

TP751.1

WU Long, CHEN Jie, CHEN Shuyu, YANG Xu, XU Lu. Image Dehazing Based on Transmittance Estimation by Variant Chicken Swarm Optimization Algorithm[J].Electronic Science and Technology, 2024, 37(11): 22-30.

Figures/Tables 11

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References 21

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组别	DCP	FDCP	GDCP	MDCP	HDCP
a	253.793	251.860	254.895	211.887	95.901
b	254.996	254.944	254.999	202.090	140.893
c	254.923	254.738	254.979	204.359	143.147
d	254.496	254.536	229.281	196.636	195.495

组别	DCP/dB	FDCP/dB	GDCP/dB	MDCP/dB	HDCP/dB
a	24.086	24.119	24.067	24.869	28.313
b	24.065	24.066	24.065	25.075	26.642
c	24.067	24.070	24.066	25.027	26.573
d	24.074	24.073	24.527	25.194	25.219

组别	DCP	FDCP	GDCP	MDCP	HDCP
a	0.620 8	0.653 4	0.495 7	0.671 9	0.674 7
b	0.463 0	0.587 6	0.335 4	0.544 7	0.545 9
c	0.533 1	0.581 3	0.544 2	0.534 4	0.589 1
d	0.566 2	0.571 0	0.439 9	0.507 5	0.472 2

组别	DCP	FDCP	GDCP	MDCP	HDCP
a	6.748 1	6.853 9	7.619 6	7.470 7	7.670 1
b	7.324 6	7.272 5	6.857 6	7.614 2	7.848 6
c	6.861 1	6.852 3	7.075 1	7.467 8	7.495 1
d	7.137 6	7.491 8	6.849 5	7.718 1	7.775 3

组别	MSE	PSNR/dB	SSIM	E
DCP	254.807 3	24.069	0.350 8	7.190 9
FDCP	252.954 4	24.101	0.417 9	7.064 6
GDCP	253.294 4	24.095	0.492 0	7.214 2
MDCP	187.339 1	25.405	0.464 8	7.211 0
HDCP	169.886 3	25.829	0.475 9	7.743 5

Image Dehazing Based on Transmittance Estimation by Variant Chicken Swarm Optimization Algorithm

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组别	MSE	PSNR/dB	SSIM	E
DCP	232.756 1	24.462	0.702 6	7.456 1
FDCP	230.576 9	24.503	0.850 3	7.422 2
GDCP	152.222 6	26.306	0.664 9	7.281 2
MDCP	179.088 5	25.600	0.725 1	7.516 1
HDCP	95.361 1	28.337	0.770 4	7.635 7

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