Reducing the latency and improving the resolution of vector quantization with anamorphic stretch transform

摘要

Application of the recently introduced Discrete Anamorphic Stretch Transform to data clustering is proposed and demonstrated. We show that the Transform enhances vector quantization in terms of its computation speed and peak SNR by increasing the image coherence. To validate our technique's utility in data compression, we show superior performance compared to JPEG 2000.