Compressing Depth Maps using Multiscale Recurrent Pattern Image Coding

Graziosi, D. B. G. ; Rodrigues, Nuno M. M. ; Pagliari, C.L.P. ; Faria, S.M.M. ; Silva, E. ; Carvalho, M.

Measurement: Journal of the International Measurement Confederation Vol. 46, Nº 5, pp. 340 - 341, March, 2010.

ISSN (print): 0263-2241
ISSN (online):

Scimago Journal Ranking: 0,39 (in 2010)

Digital Object Identifier: 10.1049/el.2010.0135

United Nations Strategic Development Goal - Industry, Innovation and Infrastructure

Abstract

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 10 dB when compared with state-of-the-art methods, such as JPEG2000 and H.264/AVC.

Information and Data Sciences

Compressing Depth Maps using Multiscale Recurrent Pattern Image Coding