Title :
Stationary wavelet denoising based on wavelet coefficients obeying prior distribution in subbands
Author :
Zhang Fengjun ; Xie Chengjun ; Yin Jianhui ; Zhou Zhiqiang
Author_Institution :
Coll. of Comput. Sci. & Technol., Beihua Univ., Jilin, China
Abstract :
Edge distortion in image denoising can be improved effectively based on Stationary Wavelet Transformation (SWT) instead of Orthogonal Wavelet Transformation (OWT). The statistics of wavelet coefficients in subbands can be supposed obeying a Prior Distribution Model (PDM), through which the threshold function with ideal shrinkage can be deduced and improve image denoising in the smooth regions effectively. The method based on SWT combining with PDM proposed in this paper can improve both Peak Signal to Noise Ratio (PSNR) and visual effect of the image denoised through Matlab simulation experiments.
Keywords :
image denoising; mathematics computing; wavelet transforms; Matlab simulation; edge distortion; ideal shrinkage; image denoising; peak signal to noise ratio; prior distribution model; stationary wavelet denoising; stationary wavelet transformation; subbands; threshold function; visual effect; Image denoising; Multiresolution analysis; Noise measurement; Noise reduction; PSNR; Wavelet coefficients; Mallat algorithm; prior dstribution; stationary wavelet; threshold denoising;
Conference_Titel :
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location :
Jilin
Print_ISBN :
978-1-61284-719-1
DOI :
10.1109/MEC.2011.6025656
