Mixed Noise Removal for Color Images Based on Improved PCNN
Yongqiu Tu · Jisuanji gongcheng · 2011
Aiming at the deficiency of mixed noise removal algorithm for color images based on LA-PCNN,this paper proposes an adaptive algorithm of mixed noise removal for color images based on improved LA-PCNN.The adaptive setting method for key parameters and the estimation method of image pixels blurred by noises of LA-PCNN model are gained with theoretical and experiments analysis.Experimental results show that the algorithm improves denoising performance of PSNR from 9% to 18% than LA-PCNN algorithm,and gets a better visual effect when dealing with color images mixed noise removal,showing great adaptability and robustness.