NDLI: An Improved Approach to Threshold Function De-noising of Mobile Image in CL2 Multi-wavelet Transform Domain

Content Provider	IEEE Xplore Digital Library
Author	Yongming Zhou Shengli Lai Leian Liu Peizhuo Lv
Copyright Year	2005
Description	Author affiliation: Sch. of Electron.&Inf. Eng., South China Univ. of Technol., Guangzhou (Yongming Zhou; Shengli Lai; Leian Liu; Peizhuo Lv)
Abstract	A new threshold function is presented based on the traditional de-noising method put forward by Donoho. The new threshold function has many advantages over Donoho's soft-threshold and hard-threshold functions. This new algorithm is in possession of not only the de-noising ability of the energy-adaptation, but also the capability of protecting edge information of mobile image signal when it was applied to de-noise. It is simple in expression and avoids the discontinuity of hard-threshold function; meanwhile, it is as continuous as the Donoho's soft-threshold function. Besides, this function has a high order derivative which makes all kinds of mathematical manipulations very convenient. At the same time, the new threshold function is more elastic than the traditional soft-threshold and hard-threshold functions. All these advantages make it possible to construct a self-adaptation de-noising algorithm. Simulation results based on both single wavelet and CL2 multi-wavelet transformation indicate that the de-noising approach with the new threshold function outperforms the traditional soft-threshold function in both visional effects and signal-to-noise ratio
Starting Page	1
Ending Page	4
File Size	1999662
Page Count	4
File Format	PDF
ISBN	9810545738
DOI	10.1109/MTAS.2005.207171
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-11-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Mobility Organising Committee
Subject Keyword	threshold function Image processing Noise reduction energy self-adaptation Mobile communication Time frequency analysis Multimedia communication Wavelet coefficients Continuous wavelet transforms multi-wavelet shrinkage threshold de-noise Signal processing mobile image processing Protection Signal to noise ratio
Content Type	Text
Resource Type	Article

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