A LOW BIT RATE ENCODING SYSTEM FOR USING VECTOR QUANTIZATION AND EDGE DETECTION

Abstract

A low bit rate encoding using VQ gives a real-time image coding. The encoding process applied is independent of the vector dimensions and does not perform any arithmetic operations. The vector quantization is done by the downsample method which faceplates to take decimation factor for image and video compression. The decision tree generated by an offline process. Together with pipeline architecture, high speed encoding is now realizable in a single Chip. A new systolic architecture to realize the encoder of full-search vector quantization (VQ) for high-speed applications. The architecture possesses the features of regularity and modularity. One major challenging subband coding is efficiently coding subbands, which have low energy.