Compressing Depth Maps using Multiscale Recurrent Pattern Image Coding
- D. B. G. Graziosi; Rodrigues, Nuno M. M. ; C.L.P. Pagliari; Faria, S.M.M.; E. Silva; M. Carvalho;
ISSN (print): 0013-5194
ISSN (online): 0013-5194
Journal Impactor Factor: 1.140 (in 2008)
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.