Blind restoration of blurred and noisy images

Author

Moayeri, Nader ; Konstantinides, Konstantinos

Author_Institution

Hewlett-Packard Co., Palo Alto, CA, USA

Volume

4

fYear

1997

fDate

21-24 Apr 1997

Firstpage

2573

Abstract

This paper presents a technique for deblurring noisy images. It includes two processing blocks, one for denoising and another for blind image restoration. The denoising step is based on the theories of singular value decomposition and compression-based filtering. The deblurring step is based on a double-regularization technique. Experimental results show that the combination of these techniques is quite effective in restoring severely blurred and noise-corrupted images, without prior knowledge of either the noise or image characteristics

Keywords

filtering theory; image restoration; noise; singular value decomposition; blind image restoration; blurred images; compression based filtering; denoising; double regularization technique; experimental results; image characteristics; image deblurring; noise characteristics; noisy images; processing block; singular value decomposition; Additive noise; Bandwidth; Degradation; Filtering theory; Image coding; Image restoration; Laboratories; Noise reduction; Signal restoration; Singular value decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.595314

Filename

595314