Improved NSCT based shrinking threshold denoising algorithm for infrared image
An improved NSCT based shrinking threshold denoising algorithm for infrared image is proposed. The improved NSCT is constructed based on the Nonseparable Wavelet Transform via non-linear lifting method with redundancy structure, which can produce better image processing performance for its better detail capturing capability, shift invariance, multiresolution and multi-direction. After analyzing the current threshold functions and threshold selecting methods, an novel threshold function suitable for the improved NSCT is established with high-level continuous derivative to improve the denosing performance for infrared image. Experimental results show that the proposed algorithm has better denoising performance and detail-preserving capability.
Infrared image denosing nonsubsampled contourlet transform shrinking threshold redundancy structure
Deqin Shi Wei Yang Junshan Li
Xi’an Rearch Institute of High-tech., Xi’an, China 710025 No.145 Erqi Road Jiangan District,Wuhan, China 430012
国际会议
桂林
英文
1-4
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）