Title :
A sure approach for image deconvolution in an orthonormal wavelet basis
Author :
Benazza-Benyahia, A. ; Pesquet, J.C.
Author_Institution :
URISA, SUP´´COM, Ariana
Abstract :
In this paper, we are interested in restoring blurred images corrupted by an additive Gaussian noise. The originality of the proposed approach is two-fold. Firstly, we formulate the restoration problem as the minimization of a criterion derived from Stein´s unbiased risk estimate. Secondly, the deconvolution procedure is performed using any analysis and synthesis function families, that can be redundant or not. Simulations carried out on satellite images indicate the good performance of our method in the case of orthonormal wavelet decompositions.
Keywords :
image restoration; wavelet transforms; additive Gaussian noise; blurred image; image deconvolution; image restoration; orthonormal wavelet decomposition; satellite image; Additive noise; Deconvolution; Degradation; Filtering; Frequency domain analysis; Gaussian noise; Image restoration; Noise reduction; Wavelet domain; Wavelet transforms;
Conference_Titel :
Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd International Symposium on
Conference_Location :
St Julians
Print_ISBN :
978-1-4244-1687-5
Electronic_ISBN :
978-1-4244-1688-2
DOI :
10.1109/ISCCSP.2008.4537471
