Title :
A Bayes thresholding method based on edge protection strategies
Author :
Zhang, Zhenhua ; Zhang, Yuxin ; Pan, Yang ; Xiao, Linchang
Author_Institution :
State Key Lab. of Automotive Simulation & Control, Jilin Univ., Changchun, China
Abstract :
In this paper, several image denoising methods of protecting edges of images are introduced and the shortcomings of these algorithms are analyzed. A novel high-frequency edge detection method is proposed based on Inter Correlation of Wavelet Coefficients at Finer Scales and the distribution of wavelet coefficients. The experimental results and analysis are given here. The experimental results show that the proposed method has higher PSNR than the traditional method Bayes threshold denoising does.
Keywords :
Bayes methods; edge detection; image denoising; image segmentation; wavelet transforms; Bayes thresholding method; edge protection strategy; high-frequency edge detection method; image denoising method; wavelet coefficients; Correlation; Image denoising; Image edge detection; Noise; Noise reduction; Wavelet coefficients; image noising; throshold; wavelet transform;
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
DOI :
10.1109/ICMT.2011.6001834
