A parallel framework for texture substitution coding

Author

Wan, Jinliang ; Song, Jinbao ; Ye, Long ; Zhang, Qin

Author_Institution

Inf. Eng. Sch., Commun. Univ. of China, Beijing, China

Volume

1

fYear

2010

fDate

17-19 Sept. 2010

Abstract

Image can be parsed into two main categories of representation: structure contour and region texture. However, real-time application of TSC is limited due to its inherent complexity and computational intensity. In this paper, we proposed a distributed parallel TSC framework based on MPI. This framework is implemented on a dedicated cluster. Experiments have demonstrated that our parallel framework can improve the TSC efficiency significantly and achieve optimal restoration.

Keywords

application program interfaces; computational complexity; image coding; image representation; image restoration; image texture; message passing; parallel processing; MPI; TSC efficiency; computational intensity; distributed parallel TSC framework; image region texture; image representation; image structure contour; inherent complexity; optimal restoration; real-time application; texture substitution coding; Encoding; Image segmentation; Manganese; TSC; parallel technique; region extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Educational and Information Technology (ICEIT), 2010 International Conference on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-8033-3

Electronic_ISBN

978-1-4244-8035-7

Type

conf

DOI

10.1109/ICEIT.2010.5607785

Filename

5607785