Title :
An improved image dehazing algorithm based on dark channel prior
Author :
Jiajie Liu ; Jieying Zheng ; Ziguan Cui ; Guijin Tang ; Feng Liu
Author_Institution :
Jiangsu Province Key Lab. on Image Process. & Image Commun., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
Image dehazing algorithm based on dark channel prior has been proved to be effective, but it cannot still guarantee accurate transmission. To solve this problem, we firstly propose a more reasonable estimation of atmospheric light, because bias in the atmospheric light estimation will cause an inaccurate transmission. Secondly, we improve the estimation of transmission in bright area so as to alleviate color distortion. After image recovery, we carry out denoising to improve the image quality. Finally, we use a blind image quality assessment method based on property of Human Visual System, and the experimental results show that this improved algorithm is more effective.
Keywords :
estimation theory; image colour analysis; image denoising; atmospheric light estimation; blind image quality assessment method; color distortion; dark channel; human visual system; image denoising; image quality; image recovery; improved image dehazing algorithm; Atmospheric modeling; Equations; Estimation; Image color analysis; Image quality; Mathematical model; Noise reduction; blind image quality assessment method; dark channel prior; global atmospheric light; transmission;
Conference_Titel :
Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
DOI :
10.1109/WARTIA.2014.6976545
