Nighttime Fog Removal Using the Dark Point Light Source Model

ZHANG Jingyang; YAN Limin; CHEN Zhiheng

Volume 43 Issue 8

Aug. 2021

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ZHANG Jingyang, YAN Limin, CHEN Zhiheng. Nighttime Fog Removal Using the Dark Point Light Source Model[J]. Infrared Technology , 2021, 43(8): 798-803.

Citation:

ZHANG Jingyang, YAN Limin, CHEN Zhiheng. Nighttime Fog Removal Using the Dark Point Light Source Model[J]. Infrared Technology , 2021, 43(8): 798-803.

ZHANG Jingyang, YAN Limin, CHEN Zhiheng. Nighttime Fog Removal Using the Dark Point Light Source Model[J]. Infrared Technology , 2021, 43(8): 798-803.

Citation:

ZHANG Jingyang, YAN Limin, CHEN Zhiheng. Nighttime Fog Removal Using the Dark Point Light Source Model[J]. Infrared Technology , 2021, 43(8): 798-803.

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Nighttime Fog Removal Using the Dark Point Light Source Model

Microelectronics R & D Center, Shanghai University, Shanghai 200444, China

Received Date: 2020-11-24
Rev Recd Date: 2020-12-25
Publish Date: 2021-08-20

Abstract

Abstract

To address image distortion, texture loss, and low brightness in nighttime fog scenes, this paper proposes a nighttime defogging algorithm based on a dark point light source model. The dark point light source model was first constructed and the degraded image was processed by an algorithm that utilizes both bilateral filtering and limited contrast adaptive histogram equalization. Then, the defogging image was obtained by combining with the atmospheric scattering model. The experimental results show that this algorithm has a fast processing speed, a better effect of nighttime fogging, and a certain degree of improvement in terms of contrast, average gradient, and information entropy when compared with the contrast algorithm. This model can therefore effectively address image distortion, texture loss, and low brightness of fogging images.

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References(9)

References

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