Töreyin, B. UğurTrocan, M.Pesquet-Popescu, B.Çetin, A. Enis2016-02-082016-02-082006-051520-6149http://hdl.handle.net/11693/27213Date of Conference: 14-19 May 2006Conference name: 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings3D video codecs have attracted recently a lot of attention, due to their compression performance comparable with that of state-of-art hybrid codecs and due to their scalability features. In this work, we propose a least mean square (LMS) based adaptive prediction for the temporal prediction step in lifting implementation. This approach improves the overall quality of the coded video, by reducing both the blocking and ghosting artefacts. Experimental results show that the video quality as well as PSNR values are greatly improved with the proposed adaptive method, especially for video sequences with large contrast between the moving objects and the background and for sequences with illumination variations. © 2006 IEEE.EnglishAdaptive systemsImage qualityLeast squares approximationsLightingMean square errorCompression performanceScalability featuresVideo codecsImage codingConference Paper10.1109/ICASSP.2006.1660273