An Improved Method of Image Denoising Based on Wavelet Transform
A new thresholding function is proposed for image denoising in the wavelet domain. The new threshold function has the same characteristic of continuity with the soft-thresholding function, and also overcomes the defects of constant bias between the estimate of the wavelet coefficients and wavelet decomposition in the soft-thresholding function, the thresholding function effects are considered simultaneously. The simulation results show that the proposed thresholding function has superior features compared to conventional methods when used with an improved thresholding function. It also shows that using the new threshold function for image denoisinginherits the advantages of the hard and soft threshold function. This makes it an efficient method in image denoising applications, it can also remove the noise and retain the image details better.
image denoising wavelet transform threshold Junction
Xiwen Qin Yang Yue Xiaogang Dong Xinmin Wang ZhanSheng Tao
College of Basic Sciences Changchun University of Technology Changchun, P.R.China Institute of applied mathematics Changchun University of Technology Changchun, P.RXhina
国际会议
长春
英文
167-170
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）