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Multiscale recurrent pattern matching approach for depth map coding
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| 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 |
Orientador(es)
Resumo(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.
Descrição
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
EISBN - 978-1-4244-7135-5
Fonte: https://www.researchgate.net/publication/220921763_Multiscale_recurrent_pattern_matching_approach_for_depth_map_coding
Palavras-chave
Depth Maps 3D Image Coding Recurrent Pattern Matching
Contexto Educativo
Citação
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.
Editora
IEEE Canada
Licença CC
Sem licença CC