An Dehazing Algorithm of Lossy Compression Video Image

Abstract:

Using dark channel prior to estimate the thickness of the haze , recent research work has made significant progresses in single image dehazing. However , it is difficult to apply existing method for processing high resolution input images because of t he heavy computation cost s of it . For some kinds of input images , existing method still can not reach enough accuracy . we develop a powerful and practical single image dehazing method. The experimental results show our gradient prior of transmission map s greatly reduces t he computation cost s of t he previous method. Furthermore , the optimization methods and parameter adjustment for our novel image prior enhance t he accuracy of the computation related with transmission map. Overall , compared wit h the state of the art , our new single image dehazing method achieves t he same, and even better image quality with only around 1/8 computation time and memory cost .

• Periodical: Advanced Materials Research (Volumes 850-851)
• Pages: 825-829
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.850-851.825
• Online since: December 2013
• Authors: Guo Dong Jin, Li Bin Lu, Xiao Fei Zhu
• Keywords: Compression Image, Dark Channel Prior, Dehazing, Image Enhancement

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