A novel algorithm for blocking artifacts removal based on adaptive fuzzy filter in compressed images

Author

Kaçmaz, Seydi ; Kayhan, Sema Koç ; Erçelebi, Ergun

Author_Institution

Elektrik ve Elektron. Muhendisligi Bolumu, Gaziantep Univ., Gaziantep, Turkey

fYear

2012

fDate

18-20 April 2012

Firstpage

1

Lastpage

4

Abstract

In this study, a new adaptive post-filtering algorithm is proposed to remove observed blocking artifacts as a result of discrete cosine transform (DCT) based image and video compression standarts at low bit rates. With identification of blocking artifact strength, fuzzy filter is applied by adjusting filtering range and its parameters. Experimental results showed that, the proposed algorithm exhibits better detail preservation and artifact removal performance with lower computational cost as compared to other post-processing techniques. Accordingly, this can be used for the real time image and video applications without undesired artifacts.

Keywords

adaptive filters; discrete cosine transforms; fuzzy set theory; video coding; DCT; adaptive fuzzy filter; adaptive post-filtering algorithm; blocking artifact strength; blocking artifacts removal; compressed image; discrete cosine transform; image compression; video compression; Discrete cosine transforms; Encoding; Filtering algorithms; Image coding; MPEG 4 Standard; PSNR; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2012 20th

Conference_Location

Mugla

Print_ISBN

978-1-4673-0055-1

Electronic_ISBN

978-1-4673-0054-4

Type

conf

DOI

10.1109/SIU.2012.6204486

Filename

6204486