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Subband coding has proven to be an efficient method for coding images at low bit rates. In this paper we consider an algorithm to compress still images which is based on subband coding and inter-band vector quantization. The image spectrum is decomposed into 16 uniform bands using 2-D separable quadrature mirror filters. These 16 bands are used to create 16-dimensional vectors, which are coded using vector quantization. Our aprouch is to split these vectors in order to reduce complexity and exploit spectral properties of the image data. We examine the effects of the bit allocation at rates of 0.50 bit/pixel and 0.63 bit/pixel. Simulation results show that the performance is comparable to the basic coding structure, while complexity is significantly reduced.
Síntese de Imagens
Reconhecimento de Padrões
Visualização de Dados
Visão por Computador
Aplicações em Medicina
Modelagem e Visualização
Animação e Multimídia
Processamento de Imagens
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