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Light field HEVC-based image coding using locally linear embedding and self-similarity compensated prediction
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Orientador(es)
Resumo(s)
Light field imaging is a promising new technology that allows the user not only to change the focus and perspective after taking a picture, as well as to generate 3D content, among other applications. However, light field images are characterized by large amounts of data and there is a lack of coding tools to efficiently encode this type of content. Therefore, this paper proposes the addition of two new
prediction tools to the HEVC framework, to improve its coding efficiency. The first tool is based on the local linear embedding-based prediction and the second one is based on the self-similarity compensated prediction. Experimental results show improvements over JPEG and HEVC in terms of average bitrate savings of 71.44% and 31.87%, and average PSNR gains of 4.73dB and 0.89dB, respectively.
Descrição
Palavras-chave
Light field image coding Self-similarity Image prediction Locally linear embedding HEVC
Contexto Educativo
Citação
R. Monteiro et al., "Light field HEVC-based image coding using locally linear embedding and self-similarity compensated prediction," 2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), Seattle, WA, USA, 2016, pp. 1-4, doi: 10.1109/ICMEW.2016.7574670.
Editora
IEEE Canada
Licença CC
Sem licença CC