Multiscale recurrent pattern matching approach for depth map coding

Graziosi, Danillo B.; Rodrigues, Nuno M. M.; Pagliari, Carla L.; Silva, Eduardo A. B. da; Faria, Sérgio M. M. de; Perez, Marcelo M.; Carvalho, Murilo B. de

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Multiscale recurrent pattern matching approach for depth map coding.pdf	In this article we propose to compress depth maps using a coding scheme based on multiscale recurrent pattern matching and evaluate its impact on depth image based rendering (DIBR). Depth maps are usually converted into gray scale images and compressed like a conventional luminance signal. However, using traditional transform-based encoders to compress depth maps may result in undesired artifacts at sharp edges due to the quantization of high frequency coefficients. The Multidimensional Multiscale Parser (MMP) is a pattern matching-based encoder, that is able to preserve and efficiently encode high frequency patterns, such as edge information. This ability is critical for encoding depth map images. Experimental results for encoding depth maps show that MMP is much more efficient in a rate-distortion sense than standard image compression techniques such as JPEG2000 or H.264/AVC. In addition, the depth maps compressed with MMP generate reconstructed views with a higher quality than all other tested compression algorithms.	308.16 KB	Adobe PDF	Download

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Authors

Graziosi, Danillo B.

Rodrigues, Nuno M. M.

Pagliari, Carla L.

Silva, Eduardo A. B. da

Faria, Sérgio M. M. de

Perez, Marcelo M.

Carvalho, Murilo B. de

Abstract(s)

In this article we propose to compress depth maps using a coding scheme based on multiscale recurrent pattern matching and evaluate its impact on depth image based rendering (DIBR). Depth maps are usually converted into gray scale images and compressed like a conventional luminance signal. However, using traditional transform-based encoders to compress depth maps may result in undesired artifacts at sharp edges due to the quantization of high frequency coefficients. The Multidimensional Multiscale Parser (MMP) is a pattern matching-based encoder, that is able to preserve and efficiently encode high frequency patterns, such as edge information. This ability is critical for encoding depth map images. Experimental results for encoding depth maps show that MMP is much more efficient in a rate-distortion sense than standard image compression techniques such as JPEG2000 or H.264/AVC. In addition, the depth maps compressed with MMP generate reconstructed views with a higher quality than all other tested compression algorithms.

Description

Conference date - 8 December 2010 - 10 December 2010; Conference code - 83895
EISBN - 978-1-4244-7135-5
Fonte: https://www.researchgate.net/publication/220921763_Multiscale_recurrent_pattern_matching_approach_for_depth_map_coding

Keywords

Depth Maps 3D Image Coding Recurrent Pattern Matching

URI

http://hdl.handle.net/10400.8/14451

Citation

D. B. Graziosi et al., "Multiscale recurrent pattern matching approach for depth map coding," 28th Picture Coding Symposium, Nagoya, Japan, 2010, pp. 294-297, doi: https://doi.org/10.1109/PCS.2010.5702490.