Title :
Bi-directional 3D auto-regressive model approach to motion picture restoration
Author :
Goh, W.B. ; Chong, M.N. ; Kalra, S. ; Krishnan, D.
Author_Institution :
Sch. of Appl. Sci., Nanyang Technol. Inst., Singapore
Abstract :
Most image restoration algorithms will blur edges of moving objects in the vicinity of occluded and uncovered image regions. These artifacts are visually annoying. This paper proposes a new bi-directional 3D auto-regressive model which is able to suppress mixed noise processes and recover lost signals in both the covered and uncovered regions in an image sequence. The performance of this algorithm is shown to be superior to the existing 3D AR model
Keywords :
autoregressive processes; image restoration; image segmentation; image sequences; interference suppression; motion estimation; 3D AR model; artifacts; auto-regressive model; bi-directional motion estimation; covered image regions; image restoration; image sequence; lost signals recovery; mixed noise processes suppression; motion picture restoration; moving objects; occluded image regions; uncovered image regions; Bidirectional control; Filters; Image restoration; Image sequences; Motion estimation; Motion pictures; Optical noise; Pixel; Signal processing; Signal restoration;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.545876
