A modified NAS-RIF blind image restoration algorithm for noisy binary images

Author

Mei, Xue ; Luxi, Yang ; Cairong, Zou ; Zhenya, He

Author_Institution

Dept. of Radio Eng., Southeast Univ., Nanjing, China

Volume

1

fYear

2002

fDate

26-30 Aug. 2002

Firstpage

81

Abstract

The NAS-RIF algorithm for blind image deconvolution proposed by D. Kunder and D. Hatzinakos [1996] can obtain good image estimates when free of noise, but it can´t get satisfactory result in the presence of noise. Because of this, Michael K.Ng, et al. [2000] presented NAS-RRIF algorithm, which mainly regularizes the inverse filter to avoid the excess amplification of noise. However, NAS-RRIF algorithm doesn´t improve the result greatly. Blind restoration of binary images is also important, so we combine more a priori information of a binary image with NAS-RIF algorithm and propose a modified NAS-RIF algorithm for noisy binary images. This algorithm also considers the situation when the background is not black and overcomes the scale problem of NAS-RIF algorithm.

Keywords

blind source separation; deconvolution; image restoration; NAS-RIF blind image restoration algorithm; a priori information; background; blind image deconvolution; image estimates; inverse filter; noisy binary images; Astronomy; Convergence; Deconvolution; Degradation; Finite impulse response filter; Gradient methods; Helium; Image converters; Image restoration; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 2002 6th International Conference on

Print_ISBN

0-7803-7488-6

Type

conf

DOI

10.1109/ICOSP.2002.1180989

Filename

1180989