Blocking effect removal using robust statistics and line process

Author

Yang, Seungjoon ; Hu, Yu-Hen ; Tull, D.L.

Author_Institution

Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA

fYear

1999

fDate

1999

Firstpage

315

Lastpage

320

Abstract

The Gibbs distribution with spatially adaptive clique potential functions is used as the image prior distribution in the coding artifact reduction problem. Unlike previous approaches, the image is divided in regions based on the local statistics and a clique potential function is assigned for each region. A non-differentiable potential function that preserves edge in detailed image regions is introduced. Images recovered by the proposed approach contain reduced coding artifact and improved preservation of details

Keywords

adaptive signal processing; data compression; discrete cosine transforms; edge detection; image coding; image segmentation; maximum likelihood estimation; statistical analysis; transform coding; DCT; Gibbs distribution; MAP estimation; blocking effect removal; coding artifact reduction; detail preservation; edge preservation; image compression standards; image prior distribution; image recovery; image regions; line process; local statistics; nondifferentiable potential function; robust statistics; spatially adaptive clique potential functions; Codecs; Decoding; Discrete cosine transforms; Image coding; Image quality; Quantization; Robustness; Statistical distributions; Statistics; Transform coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Signal Processing, 1999 IEEE 3rd Workshop on

Conference_Location

Copenhagen

Print_ISBN

0-7803-5610-1

Type

conf

DOI

10.1109/MMSP.1999.793855

Filename

793855