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Proceedings Paper

Image denoising method based on 3D transform and local noise analysis
Author(s): ZhiHui Li; XiaoJing Xu; HaiZhen Liu; YongQiang Wang
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Paper Abstract

This paper proposes a novel image denoising method based on filtering in 3D transform domain. At first, we apply block-DCT to the image point-by-point, then, all the transform data block are collected to build a 3D array. All the coefficients from the same band in this 3D array can be an 1D-array. We apply global 1D-DCT to those 1D-arrays, and get local de-noise threshold by local noise analysis and local structure analysis. After threshold process, we can get result by inverse 1D-DCT and inversing block-DCT corresponding to forward transform. The experimental results show that the proposed technique deliver state-of-art denoising performance, both in terms of objective criteria and visual quality.

Paper Details

Date Published: 25 November 2009
PDF: 6 pages
Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 751324 (25 November 2009); doi: 10.1117/12.838016
Show Author Affiliations
ZhiHui Li, Ministry of Public Security (China)
XiaoJing Xu, Ministry of Public Security (China)
HaiZhen Liu, Ministry of Public Security (China)
YongQiang Wang, Ministry of Public Security (China)


Published in SPIE Proceedings Vol. 7513:
2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng, Editor(s)

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