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Proceedings Paper

Adaptive Hybrid Coding Of Images
Author(s): Ali Habibi
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Paper Abstract

In Hybrid Coding technique, the sampled data is divided into blocks of NXM samples. Next, each block is transformed to generate a one-dimensional transform of each line in the block. The transform coefficients are then processed by a block of DPCM encoders which uncorrelate the data in the second dimension and quantize the uncorrelated samples using appropriate quantizers. In this study an adaptive Hybrid Coding technique is proposed based on using a single quantizer (A/D Converter) to quantize the transform coefficients and using a variable-rate algorithm for coding the quantized coefficients. The accuracy of the A/D converter (number of bits per sample) determines the fidelity of the system. The buffer-control algorithm controls the accuracy of the A/D converter for each block resulting in a fixed-rate encoder system. Experimental results have shown a stable buffer condition and reconstructed images with a higher fidelity than nonadaptive Hybrid systems.

Paper Details

Date Published: 28 December 1979
PDF: 7 pages
Proc. SPIE 0207, Applications of Digital Image Processing III, (28 December 1979); doi: 10.1117/12.958251
Show Author Affiliations
Ali Habibi, TRW Defense and Space Systems Group (United States)


Published in SPIE Proceedings Vol. 0207:
Applications of Digital Image Processing III
Andrew G. Tescher, Editor(s)

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