Fraunhofer-Gesellschaft Zur Foerderung Der Angewandten Forschung E.V.

Lim Wang-Q

Thomas Wiegand

Detlev Marpe

Heiko Schwarz

Mischa Siekmann

Haricharan Lakshman

Johannes Erfurt

Gitta Kutyniok

A decoder is described, which receives an encoded data stream. The encoded data stream includes data representing a picture and a classification mode parameter. The classification mode parameter specifies a certain classification to be applied to samples in the picture, the certain classification selected from a plurality of classifications. The decoder decodes the encoded data stream to obtain a reconstructed picture and the classification mode parameter, classifies samples of the reconstructed picture into one of a plurality of classes using the certain classification specified by the classification mode parameter, and filters the samples of the reconstructed picture. A sample is filtered using a filter for the class into which the sample has been classified.

Adaptive in-loop filter with multiple feature-based classifications

A signal which is to be quality-improved often suffers from the quality degradation in the spatial high frequency region more than compared to the spatial low frequency region. Accordingly a quality improvement is performed efficiently by combining the signal to be quality improved with a high frequency portion extracted from a sparse approximation of the signal to be quality improved.

Upsampling and signal enhancement

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Berlin, Germany

Lim Wang-Q