Codificação de Imagens com Predição Adaptativa Baseada no Critério de Mínimos Quadrados

- D. B. G. Graziosi; Rodrigues, Nuno M. M. ; E. Silva; Faria, S.M.M.; M. Carvalho; Silva, V.;

"Codificação de Imagens com Predição Adaptativa Baseada no Critério de Mínimos Quadrados ", Proc Simpósio Brasileiro das Telecomunicações , Blumenau , Brazil , Vol. , pp. - , September , 2009 .

Abstract

In this article, a new prediction method based on least-square minimization was added to the MMP (Multidimensional Multiscale Parser) algorithm, in order to improve its rate distortion performance. A local context is used to adaptively adjust the linear prediction coefficients, that implicitly embed the local texture characteristics. Since the decoder repeats the same prediction process using the reconstructed data, no extra overhead is needed for signaling the coefficients. This new context-adaptive linear prediction mode was added to the existing intra prediction modes, and the best mode is chosen through rate-distortion optimization. The experimental results presented in this paper show that the new prediction mode is able to increase considerably MMPs coding performance for smooth images, when compared with state-of-the-art, transform-based methods, and no performance loss was detected, when applied to non-smooth images.