Title :
Image coding with incomplete transform competition for HEVC
Author :
Adrià Arrufat;Anne-Flore Perrin;Pierrick Philippe
Author_Institution :
Orange Labs, 4, Rue du Clos Courtel, 35512 Cesson-Sé
Abstract :
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%.
Keywords :
"Discrete cosine transforms","Image coding","Measurement","Encoding","Standards","Complexity theory"
Conference_Titel :
Image Processing (ICIP), 2015 IEEE International Conference on
DOI :
10.1109/ICIP.2015.7351222