Compressão de Imagens Baseada em Quantização Vetorial e Transformada Discreta do Cosseno

Fellipe André Lucena de Oliveira, Waslon Terllizzie Araújo Lopes

DOI: 10.14209/sbrt.2017.11

Evento: XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2017)

Keywords: Vector Quantization Discrete Cosine Transform Image Compression.

Abstract

This paper discusses the use of Vector Quantization (QV) and Discrete Cosine Transform (DCT) in image compression, in order to evaluate the performance of the combination of these techniques. Simulation results concerning the quantization of the DCT coefficients show that the joint use of the techniques leads, in average, to a smaller distortion when compared to the use of QV in the spatial domain, for most part of the considered coding rates.

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