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This paper describes a new framework for video dehazing, the process of restoring the visibility of the videos taken under foggy scenes. The framework builds upon techniques in single image dehazing, optical flow estimation and Markov random field. It aims at improving the temporal and spatial coherence of the dehazed video. In this framework, we first(More)
Dynamic programming (DP) is a popular and efficient technique in many scientific applications such as computational biology. Nevertheless, its performance is limited due to the burgeoning volume of scientific data, and parallelism is necessary and crucial to keep the computation time at acceptable levels. The intrinsically strong data dependency of dynamic(More)
Originating from information theory, mutual information, as a measure for image registration, has drawn much attention and has been shown to be successful. Mutual information should be maximal when the two different images are perfectly aligned. There exist many optimization schemes applied to mutual information matching problems, most of which are local(More)