Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (11A): 327-333.doi: 10.11896/jsjkx.210300072

• Image Processing & Multimedia Technology • Previous Articles     Next Articles

Nighttime Image Dehazing Method Based on Adaptive Light Source Region

WANG Tong-sen1, SHI Qin-zhong1, WANG De-fa1, DONG Shuo2, YANG Guo-wei1, YU Teng1   

  1. 1 College of Electronic Information,Qingdao University,Qingdao,Shandong 266071,China
    2 College of Computing,Qingdao University,Qingdao,Shandong 266071,China
  • Online:2021-11-10 Published:2021-11-12
  • About author:WANG Tong-sen,born in 2000,is a member of China Computer Federation.His main research interests include image processing and computer vision.
    YU Teng,born in 1988,associate professor.His main research interests include artificial intelligence and computer vision.
  • Supported by:
    National Key R&D Program of China(2017YFC080-4000) and National Natural Science Foundation of China(61772277,61873071).

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Abstract: Nighttime hazy image will cause image quality degradation,mainly reflected in the uneven illumination,low contrast and serious color deviation of nighttime hazy image,and artificial light source makes the ambient light nonuniformity.The existing mainstream algorithms are mainly for daytime image processing,but are not suitable for night scene dehazing processing.This makes night dehazing more difficult.In order to solve the above problems,this paper analyzes the imaging features of night image with fog and proposes a new night image dehazing algorithm.Aiming at the problem of color deviation of hazy images at night,this paper proposes an improved maximum reflectance prior algorithm (MRP) for color correction.This method operates each color channel separately for color correction,so as to reduce the halo effect around the light source area caused by MRP.As for the characteristics of nonuniformity of ambient light in night scene,a minimum reflectance prior algorithm based on low frequency component of hazy images is proposed.In order to solve the problem that the dark channel prior (DCP) estimation of transmittance fails at the light source,we propose a region adaptive algorithm of transmittance estimation based on the light source.The experimental results show that the proposed algorithm can suppress the halo and the divergence of the light source area.At the same time,it can better reproduce the dark details and restore the image with better brightness.

Key words: Image dehazing, Image restoration, Nighttime image dehazing

CLC Number: 

  • TP391
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