Fu, G. and Hojjatoleslami, A. and Colchester, A.C.F. (2008) Wavelet Noise Reduction Based on Energy Features. In: 5th International Conference, ICIAR 2008, 25-27th June 2008, Povoa de Varzim, Portugal.
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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:||16 Jun 2011 12:33|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/11932 (The current URI for this page, for reference purposes)|
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