SCODE - Scanned COmpound Document Encoder

Publicações

Compressing depth maps using multiscale recurrent pattern image coding

Publication . Graziosi, D. B.; Rodrigues, N. M. M.; Pagliari, C. L.; Faria, S. M. M. de; Silva, E. A. B. da; Carvalho, M. B. De

The use of the multidimensional multiscale parser algorithm for depth maps coding is proposed. The compression method uses a block-based approach, where efficient prediction combined with pattern matching is applied to the encoding of greyscale images, which convey the disparity or depth information of a 3D image. Simulation results show gains of up to 10dB when compared with state-of-the-art methods, such as JPEG2000 and H.264/AVC.

2010-03-04Artigo científico

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Lossy and lossless image encoding using multi‐scale recurrent pattern matching

Publication . Graziosi, Danillo Bracco; Rodrigues, Nuno Miguel; Silva, Eduardo A.B. da; Carvalho, Murilo B. de; Faria, Sérgio Manuel Maciel de

In this study, the authors investigate the use of multi‐scale recurrent pattern matching paradigm for lossless image compression. The multi‐scale multidimensional parser (MMP) algorithm is a successful implementation of this paradigm for lossy image compression, and can naturally perform lossless compression since it was first derived from a Lempel–Ziv lossless scheme. However, neither its recently adopted coding tools had been adapted for lossless coding nor a thorough analysis of its performance had been carried out. In this work, the authors evaluate MMP's lossless compression capability, proposing modifications for some of its predictions modes, as well as the inclusion of an adaptive prediction mode based on least squares. The residual information is also coded with well‐known techniques used in lossless compression. Experimental results for MMP show that the algorithm achieves a good performance for images such as computed generated graphics and scanned documents, whereas keeping a competitive performance for natural images. Since the algorithm's structure is exactly the same for lossless and lossy compression, the obtained results suggest that MMP is able to achieve a high compression performance for a wide range of images and rates, from lossy to lossless, without any prior analysis of the image to be coded.

2013-08Artigo científico

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Palavras-chave

image compression,signal processing,digital document compression,document scanning, Engineering and technology ,Engineering and technology/Electrical engineering, electronic engineering, information engineering

Entidade financiadora

Fundação para a Ciência e a Tecnologia, I.P.

Programa de financiamento

Concurso para Projectos de I&D em todos os Domínios Científicos - 2006

Número da atribuição

PTDC/EEA-TEL/66462/2006