Fast video enhancement algorithm using real-time image restoration framework

Author

Kim, Sungjin ; Paik, Joonki

Author_Institution

Dept. of Image Eng., Chung-Ang Univ., Seoul, South Korea

fYear

2002

fDate

13-16 Oct. 2002

Firstpage

108

Lastpage

113

Abstract

A fast video enhancement algorithm is proposed. The algorithm enhances the quality of video by removing degradation due to subsampling and compression. In order to incorporate a priori knowledge into the iterative minimization process, a real-time framework of iterative restoration is devised. Real-time implementation is realized by segmenting moving and motionless regions, and regularized iterative restoration and simple filtering are separately applied to the different regions. The assumption of motionless region holds for wide range of low-resolution, fixed surveillance cameras and video telephony.

Keywords

data compression; filtering theory; image enhancement; image restoration; image sampling; image segmentation; iterative methods; real-time systems; video coding; a priori knowledge; fast video enhancement algorithm; image compression; image degradation model; image filtering; image segmentation; iterative minimization process; real-time image restoration framework; subsampling; video quality; Cameras; Degradation; Filtering; Image coding; Image restoration; Image segmentation; Iterative algorithms; Surveillance; Telephony; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Workshop, 2002 and the 2nd Signal Processing Education Workshop. Proceedings of 2002 IEEE 10th

Print_ISBN

0-7803-8116-5

Type

conf

DOI

10.1109/DSPWS.2002.1231086

Filename

1231086