Image denoising based on noise detection
Because of the noise points in the images,any operation of denoising would change the original information of non-noise pixel.A noise detection algorithm based on fractional calculus was proposed to denoise in this paper.Convolution of the image was made to gain direction gradient masksfirstly.Then,the mean gray was calculated to obtain the gradient detection maps.Logical product was made to acquire noise position image next.Comparisonsinthe visual effect andevaluation parameters after processing,the results of experimentshowedthat the denoising algorithms based on noise were better than that oftraditional methodsin both subjective and objective aspects.
Yuanxiang Jiang Rui Yuan Yuqiu Sun Jinwen Tian
School of Information and Mathematics,Yangtze University,Jingzhou,Hubei,China School of Automation,Huazhong University of Science and Technology,Wuhan,Hubei,China
国际会议
上海
英文
1-5
2017-12-28（万方平台首次上网日期，不代表论文的发表时间）