臺灣大學: 數學研究所陳宜良曾怡滿Tseng, Yi-ManYi-ManTseng2013-03-212018-06-282013-03-212018-06-282010http://ntur.lib.ntu.edu.tw//handle/246246/249844We propose to review four common types of image noises, including Gaussian noise, uniform noise, Poisson noise and salt & pepper noise. We set basic one-dimensional and two-dimensional images, and add four types of noises on different levels. We will denoise these corrupted images by using total variation, soft-thresholding and adaptive median filter, respectively. Finally, compare the PSNR values to analyse the denoising effect, edges preserving, and blurring.1507218 bytesapplication/pdfen-US去雜訊小波全變差軟式閾值適應性中間值濾波器DenoisingWaveletSoft-thresholdingTVAdaptive Median Filter雜訊模式與去雜訊方法Noise Models and Denoising Techniquesthesishttp://ntur.lib.ntu.edu.tw/bitstream/246246/249844/1/ntu-99-R95221023-1.pdf