Wavelet Noise Reduction Based on Energy Features

Fu, Guoyi and Hojjatoleslami, Ali and Colchester, Alan C. F. (2008) Wavelet Noise Reduction Based on Energy Features. In: 5th International Conference, ICIAR 2008, 25-27th June 2008, Povoa de Varzim, Portugal. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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This paper proposes a new method to detect or segment local bright and dark objects using the detail map reconstructed from the wavelet detail sub-bands after wavelet coefficient shrinkage. We found that the reconstructed detail map has the reliable zero-crossing properties at multi-scale edges. We propose the shrinkage of wavelet coefficients based on energy features to remove noise while preserving the details. The local bright and dark objects can be detected by a simple threshold applied on the detail map. The results show that the performance of our method is very promising despite simple structure.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: noise reduction; energy feature; device noise profile
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image Analysis, Image Processing
Divisions: Faculties > Science Technology and Medical Studies > Kent Institute of Medicine and Health Sciences (KIMHS)
Depositing User: M.P. Stone
Date Deposited: 24 Mar 2009 15:23
Last Modified: 01 May 2014 13:33
Resource URI: https://kar.kent.ac.uk/id/eprint/11932 (The current URI for this page, for reference purposes)
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