In-band adaptive update step based on local content activity

Abstract

In this paper we present an adaptive version of the update step in the lifting implementation of MCTF (Motion Compensated Temporal Filtering).1 We explicitly take into account the local image content in order to avoid ghosting artifacts in the updated low-pass frame, tuning the update weighting factor where such artifacts are more likely to be perceived. The proposed solution is integrated into a 2D+t (in-band) wavelet based video codec and improves the subjective quality of sequences reconstructed at reduced frame rate.