Inland River Image Defogging Based on Optimized Contrast Enhancement
The fog images of Inland River often have low contrast.This paper introduces a optimized contrast enhancement algorithm.Firstly,divide the fog image by using the hierarchical searching method of quad-tree subdivision.Choose the brightest pixel as the atmospheric light in the final selected block.Then,combine the Mean Squared Error and the loss function.Next,get the optimal transmission value which can balance the contrast and the information loss.Then,fix the transmission with guide filter and adaptive window slide.Finally,restore the defogged image by solving the atmosphere attenuation model.Compared with the results obtained by several existing classical defogging methods,the experimental result shows that the proposed algorithm can effectively reduce the color distortion in sky region.
optimized contrast enhancement quad-tree Mean Squared Error loss function
Liu Bo Xiong Qingguo
Wuhan University of Science and Technology Wuhan,China
国际会议
重庆
英文
145-150
2016-03-20（万方平台首次上网日期，不代表论文的发表时间）