Two Approaches To Transform Coding Using Classified Vector Quantization

G. Tu; L. Van Eycken; A. Oosterlinck

doi:10.1117/12.970067

1 November 1989 Two Approaches To Transform Coding Using Classified Vector Quantization

G. Tu, L. Van Eycken, A. Oosterlinck

Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970067
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

In this paper, two approaches of classified transform coding using vector quantization are presented and discussed. The image data, which are known to be statistically uncertain, are classified before any further quantization and coding operations. The local image activities can be ascertained either by using the neighboring decoded data e. finite-state method) or by examining the current data (i. e. activity-detection method). The finite-state method, which is more preferable to he implemented using small transform blocks (typically 4 x 4) due to the fact that the inter-block correlations decrease for larger block dimensions, provides satisfied data classifications without requiring extra indication bits. The activity-detection method is however more likely to have larger transform blocks in order to keep the number of the extra indication bits at a reasonable level. Other practical considerations for both methods are also given.

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G. Tu, L. Van Eycken, and A. Oosterlinck "Two Approaches To Transform Coding Using Classified Vector Quantization", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970067

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