University of Wollongong
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Shape VQ-based adaptive predictive lossless image coder

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conference contribution
posted on 2024-11-14, 09:36 authored by Jiazhao WangJiazhao Wang, Philip OgunbonaPhilip Ogunbona, Golshah NaghdyGolshah Naghdy
A new shape adaptive predictive lossless image coder is proposed. Three classes of block shapes are delineated with associated “optimum” predctors. 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 includmg lossless JPEG indicates its superiority.

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Citation

Wang, J., Ogunbona, P. & Naghdy, G. (1997). Shape VQ-based adaptive predictive lossless image coder. IEEE Region 10 Annual International Conference: Speech and Image Technologies for Computing and Telecommunications (pp. 561-564). IEEE.

Parent title

IEEE Region 10 Annual International Conference, Proceedings/TENCON

Volume

2

Pagination

561-564

Language

English

RIS ID

65861

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