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Publicação
Compressing depth maps using multiscale recurrent pattern image coding
| Nome: | Descrição: | Tamanho: | Formato: | |
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| 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 10dB when compared with state-of-the-art methods, such as JPEG2000 and H.264/AVC. | 110.58 KB | Adobe PDF |
Orientador(es)
Resumo(s)
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 10dB when compared with state-of-the-art methods, such as JPEG2000 and H.264/AVC.
Descrição
Fonte: https://www.proquest.com/docview/1618804043/fulltextPDF/8503D1EFE15942A9PQ/1?accountid=208171&sourcetype=Scholarly%20Journals
Palavras-chave
Motion Picture Experts Group standards Pattern matching Three dimensional Visual communication
Contexto Educativo
Citação
Graziosi, D. B., Rodrigues, N. M. M., Pagliari, C. L., de Faria, ,S.M.M., da Silva, ,E.A.B., & De Carvalho, ,M.B. (2010). Compressing depth maps using multiscale recurrent pattern image coding. Electronics Letters, 46(5), 1-2. Retrieved from https://www.proquest.com/scholarly-journals/compressing-depth-maps-using-multiscale-recurrent/docview/1618804043/se-2.
Editora
Institution of Engineering and Technology (IET)