DocumentCode
696633
Title
Wavelet transform-based noise reduction schemes to improve the noise sensitivity of the NAS-RIF algorithm for blind image deconvolution
Author
Siddhichai, Supakorn ; Chambers, Jonathon A.
Author_Institution
Department of Electrical and Electronic Engineering, Imperial College of Science, Technology and Medicine, London, UK
fYear
2000
fDate
4-8 Sept. 2000
Firstpage
1
Lastpage
4
Abstract
The nonnegativity and support constraints recursive inverse filtering (NAS-RIF) algorithm for blind image deconvolution is extremely sensitive to the presence of additive noise. We therefore propose three novel noise-reduction schemes based upon the discrete wavelet transform (DWT) denoising technique to incorporate within the NAS-RIF algorithm. Simulation studies show that such methods have the potential to increase the range of signal-to-noise ratios (SNR) over which the NAS-RIF algorithm can be applied.
Keywords
Cost function; Deconvolution; Discrete wavelet transforms; Image restoration; Noise reduction; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2000 10th European
Conference_Location
Tampere, Finland
Print_ISBN
978-952-1504-43-3
Type
conf
Filename
7075254
Link To Document