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An efficient Video Dehazing Algorithm Based on Spectral Clustering
KSII Transactions on Internet and Information Systems
Image and video dehazing is a popular topic in the field of computer vision and digital image processing. A fast, optimized dehazing algorithm was recently proposed that enhances contrast and reduces flickering artifacts in a dehazed video sequence by minimizing a cost function that makes transmission values spatially and temporally coherent. However, its fixed-size block partitioning leads to block effects. The temporal cost function also suffers from the temporal non-coherence of newlydoi:10.3837/tiis.2018.07.014 fatcat:wahtsy3j6rernppu5ympg3bnoq