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Proceedings Paper

Improved NSCT based shrinking threshold denoising algorithm for infrared image
Author(s): Deqin Shi; Wei Yang; Junshan Li
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Paper 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.

Paper Details

Date Published: 8 December 2011
PDF: 4 pages
Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 80021S (8 December 2011); doi: 10.1117/12.902877
Show Author Affiliations
Deqin Shi, Xi'an Research Institute of High Technology (China)
Wei Yang, Xi'an Research Institute of High Technology (China)
Junshan Li, Xi'an Research Institute of High Technology (China)


Published in SPIE Proceedings Vol. 8002:
MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis
Faxiong Zhang; Faxiong Zhang, Editor(s)

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