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- W2354622745 abstract "Research the fog-degraded images clearness problem to improve the uniformity of the image enhancement.In foggy weather conditions,fog makes images contrast low and image local details not clear.The traditional fog-degraded images clearness algorithm based on histogram equalization can enhance image contrast,but the enhancement of image local details is insufficient,causing image enhancement uniformity is not high.This paper proposed a fog-degraded image clearness algorithm based on MSR.Through the Sigmoid function,the image was mapped and the image contrast was stretched.Then,the MSR algorithm was used to get the image wavelet decomposition for high frequency components and low frequency components.The high frequency components were calculate for the largest absolute value and the low frequency components were calculate for the weighted average.Experiments show that the algorithm can enhance the image contrast and get high-definition images." @default.
- W2354622745 created "2016-06-24" @default.
- W2354622745 creator A5077118057 @default.
- W2354622745 date "2012-01-01" @default.
- W2354622745 modified "2023-09-23" @default.
- W2354622745 title "Research Fog-Degraded Images Clearness Algorithm Based on the MSR" @default.
- W2354622745 hasPublicationYear "2012" @default.
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