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In this paper we present an image compression technique which employs classified vector quantization and mean prediction. We describe a perceptual block classification algorithm with reduced computational complexity which determines the class for each image block. The block is then encoded with a vector quantization and mean prediction. We described a perceptual block classification algorithm with reduced computational complexity which determines the class for each image block. The block is then encoded with a vector quantizer designed specifically for that class. Mean prediction is used to improve the performance of smooth areas of the image at low bit rates. In this case a residual vector quantizer is employed. Run-length coding are used to reduce the bit rate required to encode the side information.
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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