HU Chen-hui, L Wei-jie, ZHANG Fei. Algorithm for single image dehazing based on guided filtering optimization[J]. 2017, 36(10): 129-132. DOI: 10.13873/J.1000-9787(2017)10-0129-04.
Aiming at problem that dark channel prior algorithm is computational complex and quite time consuming
can ’t meet the demand of real-time in traffic surveillance system
and atmospheric light is easily affected by the white object
the limitation of distortion happens in the sky area and also the Halo phenomenon in the scene boundaries
a new defogging algorithm is proposed based on guided filtering
which firstly uses quad-tree search algorithm to accurately estimate atmospheric light and then uses the difference image obtained by the maximum value filtering to compensate the transmission rate in the sky area. Combine atmosphere physical scattering model to recover the haze-off image. Experimental result proves that the improved algorithm improves dehazing effect
at the same time
increase rate of algorithm.
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references
Fast image dehazing using guided joint bilateral filter [J] . Chunxia Xiao,Jiajia Gan. The Visual Computer . 2012 (6)
Single image dehazing [J] . Raanan Fattal. ACM Transactions on Graphics (TOG) . 2008 (3)