KIAM Main page Web Library  •  Publication Searh  Русский 

KIAM Preprint № 35, Moscow, 2006
Authors: Dvornikov M.V., Dvornikova I.P.
video-compression methods
Most video-compression methods require that the source image sequence has to be filtered to be freed from grain, noise and scratches to significantly improve compression efficiency. A software module based on motion-estimation algorithms is introduced for noise-cleaning and scratch removal. Video-specific features such as interlaced images and tape dropouts are also addressed.
Publication language: russian
Research direction:
Programming, parallel computing, multimedia
Source text: