Title :
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
fDate :
4/1/2001 12:00:00 AM
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;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/3477.915349
