Sequências de Baixa Discrepância Aplicadas à Avaliação de Qualidade de Imagens Comprimidas

E.A. Lima, F. Madeiro

Abstract


Um dos desafios em codificação de imagens é a concepção de sistemáticas eficientes para a avaliação de qualidade de imagens reconstruídas. Este trabalho apresenta uma abordagem para a avaliação de qualidade de imagens baseada em sequências de baixa discrepância. Resultados obtidos para imagens 256 × 256 submetidas à quantização vetorial mostram que, com apenas 7% dos pixels, o erro médio quadrático calculado com a abordagem proposta difere em menos de 5% do valor exato desta métrica, calculado usando a totalidade dos pixels.

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DOI: https://doi.org/10.5540/tema.2009.010.02.0155

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Trends in Computational and Applied Mathematics

A publication of the Brazilian Society of Applied and Computational Mathematics (SBMAC)

 

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