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: Campilho, Aurelio and Kamel, Mohamed, eds. Image Analysis and Recognition 5th International Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 75-84. ISBN 978-3-540-69811-1. E-ISBN 978-3-540-69812-8. (doi:10.1007/978-3-540-69812-8_8) (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) (KAR id:11932)

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.
Official URL: http://dx.doi.org/10.1007/978-3-540-69812-8_8

Abstract

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:	Book section
DOI/Identification number:	10.1007/978-3-540-69812-8_8
Uncontrolled keywords:	noise reduction; energy feature; device noise profile
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing
Divisions:	Divisions > Division for the Study of Law, Society and Social Justice > School of Social Policy, Sociology and Social Research
Depositing User:	M.P. Stone
Date Deposited:	24 Mar 2009 15:23 UTC
Last Modified:	16 Nov 2021 09:50 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/11932 (The current URI for this page, for reference purposes)

Depositors only (login required):

Altmetric

Download Statistics

Total unique views for this document in KAR since July 2020. For more details click on the image.