Compressing depth maps using multiscale recurrent pattern image coding

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

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Compressing depth maps using multiscale recurrent pattern image coding.pdf	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.	110.58 KB	Adobe PDF	Download

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Abstract(s)

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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Fonte: https://www.proquest.com/docview/1618804043/fulltextPDF/8503D1EFE15942A9PQ/1?accountid=208171&sourcetype=Scholarly%20Journals

Keywords

Motion Picture Experts Group standards Pattern matching Three dimensional Visual communication

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http://hdl.handle.net/10400.8/15030

Citation

Graziosi, D. B., Rodrigues, N. M. M., Pagliari, C. L., de Faria, ,S.M.M., da Silva, ,E.A.B., & De Carvalho, ,M.B. (2010). Compressing depth maps using multiscale recurrent pattern image coding. Electronics Letters, 46(5), 1-2. Retrieved from https://www.proquest.com/scholarly-journals/compressing-depth-maps-using-multiscale-recurrent/docview/1618804043/se-2.