New method for image denoising using nonsubsampled WBCT

Min Li; Ting Wang; Cheng-biao Wang; Zhi-qiang Fu; Wei-qing Li

doi:10.1117/12.855572

26 February 2010 New method for image denoising using nonsubsampled WBCT

Min Li, Ting Wang, Cheng-biao Wang, Zhi-qiang Fu, Wei-qing Li

Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75463L (2010) https://doi.org/10.1117/12.855572
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

Abstract

A novel denoising method based on the nonsubsampled wavelet-based contourlet transform (N-WBCT) was proposed in this paper. It employs wavelet transform for multi-scale decomposition, and nonsubsampled directional filter banks (NSDFB) for directional decomposition. N-WBCT has not only the properties of multi-resolution and multi-direction, but also the property of translation invariance, which is useful in eliminating the Gibbs phenomenon. The experiment results showed that this algorithm can get higher PSNR and the better visual.

Citation Download Citation

Min Li, Ting Wang, Cheng-biao Wang, Zhi-qiang Fu, and Wei-qing Li "New method for image denoising using nonsubsampled WBCT", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75463L (26 February 2010); https://doi.org/10.1117/12.855572

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available