An Adaptive Classification Procedure For Transform Coding Of Image Sequences

Herbert Holzlwimmer; Bernard Hammer

doi:10.1117/12.941334

14 October 1987 An Adaptive Classification Procedure For Transform Coding Of Image Sequences

Herbert Holzlwimmer, Bernard Hammer

Proceedings Volume 0804, Advances in Image Processing; (1987) https://doi.org/10.1117/12.941334
Event: Fourth International Symposium on Optical and Optoelectronic Applied Sciences and Engineering, 1987, The Hague, Netherlands

Abstract

A classification method for adaptive scalar quantization and efficient encoding of the DCT coefficients of video phone signals is described. In a corresponding coder concept using hybrid vector and scalar quantization the vector quantization (VQ) stage is not only used as an efficient prequantization method but also as a classifier for zonal coding by the following adaptive scalar quantization and encoding stage. To optimize the coder per-formance, the VQ classification result is combined with the output of an energy-based classifier. Our simulation results indicate that in 61 kbit/s encoding applications this concept improves the signal-to-noise-ratio by up to 0.8 dB with regard to a pure energy-based classification method.

Citation Download Citation

Herbert Holzlwimmer and Bernard Hammer "An Adaptive Classification Procedure For Transform Coding Of Image Sequences", Proc. SPIE 0804, Advances in Image Processing, (14 October 1987); https://doi.org/10.1117/12.941334

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