Wavelet Noise Reduction Based on Energy Features

Authors:
Guoyi Fu;Ali Hojjat;Alan Colchester
Affiliations:
EPSON EDGE, EPSON Canada Limited, Toronto, Canada M1W 3Z5;Medical Image Computing, KIMHS, University of Kent, Canterbury, UK CT2 7PD;Medical Image Computing, KIMHS, University of Kent, Canterbury, UK CT2 7PD
Venue:
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Year:
2008

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Abstract

This paper proposes a new algorithm based on energy features for noise reduction using wavelets. The device noise profile is obtained by the noise images taken from the imaging device so that it can represent the device's noise in multi-scale and multi-band. The energy feature takes advantage of the inter-scale relationship and spatial relationship of wavelet transformation. The wavelet coefficients are shrunk by the likelihood of noise or signal based on its energy level. The de-noised images are obtained by wavelet reconstruction. The results and comparison against common used methods show that the performance of our method is very promising despite simple structure.