Detection of missing data in image sequences

Author

Kokaram, Anil C. ; Morris, Robin D. ; Fitzgerald, William J. ; Rayner, Peter J W

Author_Institution

Dept. of Eng., Cambridge Univ., UK

Volume

4

Issue

11

fYear

1995

fDate

11/1/1995 12:00:00 AM

Firstpage

1496

Lastpage

1508

Abstract

Bright and dark flashes are typical artifacts in degraded motion picture material. The distortion is referred to as “dirt and sparkle” in the motion picture industry. This is caused either by dirt becoming attached to the frames of the film, or by the film material being abraded. The visual result is random patches of the frames having grey level values totally unrelated to the initial information at those sites. To restore the film without causing distortion to areas of the frames that are not affected, the locations of the blotches must be identified. Heuristic and model-based methods for the detection of these missing data regions are presented in this paper, and their action on simulated and real sequences is compared

Keywords

Markov processes; autoregressive processes; image sequences; motion estimation; video signal processing; 3D autoregressive model; Markov random fields; artifacts; blotch location; bright flashes; dark flashes; degraded motion picture material; dirt; distortion; grey level values; heuristic methods; image sequences; missing data detection; model-based methods; motion estimation; sparkle; video signals; Detectors; Filtering; Filters; Image restoration; Image sequences; Layout; Motion detection; Motion estimation; Motion pictures; TV;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.469931

Filename

469931