Title :
Shape VQ-based adaptive predictive lossless image coder
Author :
Wang, J. ; Ogunbona, P.O. ; Naghdy, G.
Author_Institution :
School of Electr., Comput. & Telecommun. Eng., Wollongong Univ., NSW, Australia
Abstract :
A new shape adaptive predictive lossless image coder is proposed. Three classes of block shapes are delineated with associated “optimum” predictors. Each image is partitioned into sub-blocks that are classified into one of the three classes using vector quantisation. The encoder then employs the predictor corresponding to the class of the block under consideration. Performance evaluation of the proposed coder in comparison with four other lossless coders including lossless JPEG indicates its superiority
Keywords :
adaptive codes; differential pulse code modulation; image classification; image coding; medical image processing; prediction theory; vector quantisation; DPCM; PACS; lossless JPEG; medical images; performance evaluation; pixel classification; predictive lossless image coder; shape VQ-based adaptive coder; simulation results; squared prediction error; vector quantisation; Biomedical imaging; Image coding; Image databases; Image reconstruction; Performance loss; Picture archiving and communication systems; Pulse modulation; Shape; Telecommunication computing; Vector quantization;
Conference_Titel :
TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7803-4365-4
DOI :
10.1109/TENCON.1997.648268
