An efficient blocking-matching algorithm based on fuzzy reasoning

Author

Chen, Pei-Yin ; Jou, Jer Min

Author_Institution

Dept. of Electron. Eng., Southern Taiwan Univ. of Technol., Taiwan

Volume

31

Issue

2

fYear

2001

fDate

4/1/2001 12:00:00 AM

Firstpage

253

Lastpage

259

Abstract

Due to the temporal and spatial correlation of image sequence, the motion vector of a reference block is highly related to the motion vectors of its adjacent blocks in the same image frame. By using that idea, we propose a novel efficient fuzzy search (EFS) algorithm for block motion estimation. The experimental results show that the EFS performs better than other fast search algorithms, such as TSS, CS, NTSS, FSS, BBGDS, SES, and PSA in terms of picture quality, accuracy, computational complexity, and coding efficiency

Keywords

computational complexity; fuzzy set theory; image matching; image sequences; motion estimation; search problems; accuracy; block motion estimation; blocking-matching algorithm; coding efficiency; computational complexity; efficient fuzzy search; fuzzy reasoning; image sequence; motion vector; picture quality; Artificial intelligence; Boolean functions; Breast cancer; Computer applications; Control systems; Data analysis; Fuzzy reasoning; Polynomials; Radiology; Signal processing algorithms;

fLanguage

English

Journal_Title

Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on

Publisher

ieee

ISSN

1083-4419

Type

jour

DOI

10.1109/3477.915349

Filename

915349