A new approach for the restoration of noisy blurred images

Author

Tang, H. ; Cahill, L.W.

Author_Institution

Dept. of Electron. Eng., La Trobe Univ., Bundoora, Vic., Australia

fYear

1991

fDate

11-14 Jun 1991

Firstpage

520

Abstract

An effective practical approach for restoring an image that has been distorted by a linear system is presented. An adaptive average differential iterative filter is used to eliminate noise as well as preserve edges at a relatively low cost for real-time applications. A spatial recursive deblurring approach is required to reduce any blurring effects such as those caused by atmospheric turbulence, horizontal motion, and CCD (charge coupled device) interactions. Then noise filtering is used to further reduce noise and spurious oscillations. This approach can be used in a variety of problems, ranging from the most simple linear deconvolution of noiseless images to the problems of constrained, adaptive and nonlinear restoration, and is particularly suited for the restoration of noisy blurred images

Keywords

adaptive filters; computerised picture processing; CCD interactions; adaptive average differential iterative filter; atmospheric turbulence; horizontal motion; image restoration; noise filtering; noisy blurred images; spatial recursive deblurring approach; Adaptive filters; Charge coupled devices; Charge-coupled image sensors; Costs; Deconvolution; Filtering; Image restoration; Linear systems; Noise reduction; Nonlinear distortion;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1991., IEEE International Sympoisum on

Print_ISBN

0-7803-0050-5

Type

conf

DOI

10.1109/ISCAS.1991.176387

Filename

176387