Block-edge reduction in MPEG-1 coded images using statistical inference

Author

Suthaharan, Shan

Author_Institution

Sch. of Comput. & Inf. Technol., Monash Univ., Clayton, Vic., Australia

Volume

2

fYear

1997

fDate

9-12 Jun 1997

Firstpage

1329

Abstract

A method is proposed in this paper to filter the block-edge artifact which is a common problem in block-based coding mechanisms used in various digital image and video coding standards. In this method, an algorithm for post-filtering is proposed, based on local statistical characteristics of a video image. This algorithm makes the filtering process adaptive when filtering the block-edge artifacts at different quantisation levels using a linear filter. In the filtering process, the proposed method first determines the blocks causing high block-edge artifacts and then a linear filter is applied along the edges to reduce the block-edge artifacts

Keywords

data compression; filtering theory; statistical analysis; telecommunication standards; video coding; MPEG-1 coded images; block-based coding mechanisms; block-edge artifact filtering; block-edge reduction; linear filter; local statistical characteristics; post-filtering algorithm; quantisation levels; statistical inference; video image; Adaptive filters; Digital filters; Digital images; Equations; Filtering; Image coding; Low pass filters; Nonlinear filters; Pixel; Video coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on

Print_ISBN

0-7803-3583-X

Type

conf

DOI

10.1109/ISCAS.1997.622101

Filename

622101