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Research Project

SCODE - Scanned COmpound Document Encoder

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Publications

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.

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Description

Keywords

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

Contributors

Funders

Funding agency

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

Funding programme

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

Funding Award Number

PTDC/EEA-TEL/66462/2006

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