Title :
Hierarchical finite-state vector quantization for image coding
Author :
Yu, Ping ; Venetsanopoulos, Anastasios N.
Author_Institution :
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
fDate :
11/1/1994 12:00:00 AM
Abstract :
The hierarchical finite-state vector quantization (HFSVQ) introduced in the paper is an improvement of the finite state vector quantization combined with hierarchical multirate image coding. Based on an understanding of the perception of human eye and the structural features of images, the HFSVQ technique employs different coding rates and different numbers of the predictive states for representative vector selection. The bit rate used to encode images is very low while the reconstructed images can still achieve a satisfactory perceptual quality
Keywords :
block codes; finite state machines; image coding; image reconstruction; vector quantisation; HFSVQ; bit rate; coding rates; hierarchical finite-state vector quantization; image coding; perceptual quality; predictive states; reconstructed images; representative vector selection; Bit rate; Communications Society; Focusing; Gray-scale; Humans; Image coding; Image processing; Image reconstruction; Pixel; Vector quantization;
Journal_Title :
Communications, IEEE Transactions on