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Proceedings Paper

Radiographic image sequence coding using adaptive finite-state vector quantization
Author(s): Chang-Hee Joo; Jong Soo Choi
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Paper Abstract

Vector quantization is an effective spatial domain image coding technique at under 1 . 0 bits per pixel. To achieve the quality at lower rates it is necessary to exploit spatial redundancy over a larger region of pixels than is possible with memoryless VQ. A fmite state vector quant. izer can achieve the same performance as memoryless VQ at lower rates. This paper describes an athptive finite state vector quantization for radiographic image sequence coding. Simulation experiment has been carried out with 4*4 blocks of pixels from a sequence of cardiac angiogram consisting of 40 frames of size 256*256pixels each. At 0. 45 bpp the resulting adaptive FSVQ encoder achieves performance comparable to earlier memoryless VQs at 0. 8 bpp.

Paper Details

Date Published: 1 November 1990
PDF: 5 pages
Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); doi: 10.1117/12.23528
Show Author Affiliations
Chang-Hee Joo, Chung-Ang Univ. (South Korea)
Jong Soo Choi, Chung-Ang Univ. (South Korea)

Published in SPIE Proceedings Vol. 1349:
Applications of Digital Image Processing XIII
Andrew G. Tescher, Editor(s)

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