Compressing Depth Maps using Multiscale Recurrent Pattern Image Coding
Graziosi, D. B. G.
Rodrigues, Nuno M. M.
; Pagliari, C.L.P.
; Silva, E.
; Carvalho, M.
Measurement: Journal of the International Measurement Confederation Vol. 46, Nº 5, pp. 340 - 341, March, 2010.
ISSN (print): 0263-2241
Journal Impact Factor: 0,662 (in 2008)
Digital Object Identifier: 10.1049/el.2010.0135
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.