An edge-adaptive iterative method for image restoration

Author

Fujita, Kazuhiro ; Kurahashi, Satoshi ; Yoshida, Yasuo

Author_Institution

Dept. of Electron. & Inf. Sci., Kyoto Inst. of Technol., Japan

fYear

1992

fDate

16-20 Nov 1992

Firstpage

361

Abstract

The paper proposes an edge-adaptive iterative method for restoring a blurred image. An original image is represented as a multiple image model composed of four kinds of edge regions and a flat region. The image is restored with the maximum a posteriori (MAP) criterion, which is realized by the steepest descent technique. The parameters of the original image and edge orientation are estimated from the image temporally restored by a deconvolution method. Computer simulations show that this method suppresses ringing artifacts near sharp edges and avoids smoothing edges in the cases of a motion blur and an out-of-focus blur

Keywords

edge detection; image reconstruction; iterative methods; blurred image; deconvolution method; edge orientation; edge regions; edge-adaptive iterative method; flat region; image restoration; motion blur; multiple image model; out-of-focus blur; ringing artifacts; smoothing; steepest descent technique; Deconvolution; Degradation; Focusing; Image restoration; Information science; Iterative methods; Nonlinear filters; Parameter estimation; Pixel; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Singapore ICCS/ISITA '92. 'Communications on the Move'

Print_ISBN

0-7803-0803-4

Type

conf

DOI

10.1109/ICCS.1992.255015

Filename

255015