Improved NSCT based shrinking threshold denoising algorithm for infrared image

Deqin Shi; Wei Yang; Junshan Li

doi:10.1117/12.902877

8 December 2011 Improved NSCT based shrinking threshold denoising algorithm for infrared image

Deqin Shi, Wei Yang, Junshan Li

Proceedings Volume 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis; 80021S (2011) https://doi.org/10.1117/12.902877
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

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.

Citation Download Citation

Deqin Shi, Wei Yang, and Junshan Li "Improved NSCT based shrinking threshold denoising algorithm for infrared image", Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 80021S (8 December 2011); https://doi.org/10.1117/12.902877

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