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Communication Dans Un Congrès Année : 2015

Image coding with incomplete transform competition for HEVC

Résumé

Overcomplete transforms have received considerable attention over the past years. However, they often suffer from a complexity burden. In this paper, a low complexity approach is provided, where an orthonormal basis is complemented with a set of incomplete transforms: those incomplete transforms include a reduced number of basis vectors that allow a reduction on the coding complexity and ensure a certain level of sparsity. The solution has been implemented in the HEVC standard and compression gains of around 1% on average are reported while reducing the decoder complexity in about 5%.
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Dates et versions

hal-01244796 , version 1 (16-12-2015)

Identifiants

Citer

Adrià Arrufat, Anne-Flore Perrin, Pierrick Philippe. Image coding with incomplete transform competition for HEVC. Image Processing (ICIP), 2015 IEEE International Conference on, Sep 2015, Québec, France. ⟨10.1109/ICIP.2015.7351222⟩. ⟨hal-01244796⟩
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