Title :
An efficient prediction algorithm for image vector quantization
Author_Institution :
Dept. of Electron. Eng., Southern Taiwan Univ. of Technol., Tainan, Taiwan
Abstract :
In this paper, we propose a novel efficient fuzzy prediction algorithm for image vector quantization by using the fact that the pixel values of a block is highly related to those of its adjacent blocks in the same image frame because of its spatial correlation. The experimental results show that our method performs better than other VQ algorithms, such as SOC-VQ, LCIC-VQ, STC-VQ, and DST-VQ, in terms of computational complexity and coding efficiency.
Keywords :
computational complexity; fuzzy logic; fuzzy set theory; image coding; prediction theory; spatial reasoning; vector quantisation; fuzzy prediction algorithm; fuzzy reasoning; image vector quantization; spatial correlation; Bit rate; Computational complexity; Decoding; Image coding; Image quality; Image storage; Pixel; Prediction algorithms; Rate-distortion; Vector quantization;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMCB.2003.811515
