Radiographic image sequence coding using adaptive finite-state vector quantization

Chang-Hee Joo; Jong Soo Choi

doi:10.1117/12.23528

1 November 1990 Radiographic image sequence coding using adaptive finite-state vector quantization

Chang-Hee Joo, Jong Soo Choi

Proceedings Volume 1349, Applications of Digital Image Processing XIII; (1990) https://doi.org/10.1117/12.23528
Event: 34th Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1990, San Diego, CA, United States

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.

Citation Download Citation

Chang-Hee Joo and Jong Soo Choi "Radiographic image sequence coding using adaptive finite-state vector quantization", Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); https://doi.org/10.1117/12.23528

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