Fuzzy de-blocking algorithm based on ICM filter

Author

Ping, Xiao ; Zhiheng, Zhou

Author_Institution

Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China

Volume

2

fYear

2010

fDate

10-12 Aug. 2010

Firstpage

551

Lastpage

554

Abstract

A major problem related to the block-based discrete cosine transform techniques is that the decoded images, especially at very low bit rates, exhibit highly noticeable blocking artifacts near the block boundaries. In this paper, an fuzzy de-blocking algorithm based on ICM filter is proposed. Based on some characteristics of human visual system, this algorithm applies ICM filter to current pixel by integrating fuzzy logic technique. The experiment results show that the proposed algorithm reduces the blocking artifacts effectively and preserves the original edges faithfully.

Keywords

discrete cosine transforms; filtering theory; fuzzy logic; image coding; ICM filter; block-based discrete cosine transform techniques; blocking artifact reduction; fuzzy deblocking algorithm; fuzzy logic technique; human visual system; image decoding; Filtering algorithms; Filtering theory; Humans; Image edge detection; Information filtering; Pixel; Visual system; Fuzzy rules; ICM filter; blocking artifacts;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-5931-5

Type

conf

DOI

10.1109/FSKD.2010.5569558

Filename

5569558