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Proceedings Paper

Simultaneous luminance and position stabilization for film and video
Author(s): Anil Christopher Kokaram; Rozen Dahyot; Francois Pitie; Hugh Denman
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Paper Abstract

Temporal and spatial random variation of luminance in images, or 'flicker' is a typical degradation observed in archived film and video. The underlying premise in typical flicker reduction algorithms is that each image must be corrected for a spatially varying gain and offset. These parameters are estimated in the stationary region of the image. Hence the performance of that algorithm depends crucially on the identification of stationary image regions. Position fluctuations are also a common artefact resulting in a random 'shake' of each film frame. For removing both, the key is to reject regions showing local motion or other outlier activity. Parameters are then estimated mostly on that part of the image undergoing the dominant motion. A new algorithm that simultaneously deals with global motion estimation and flicker is presented. The final process is based on a robust application of weighted least-squares, in which the weights also classify portions of the image as local or global. The paper presents results on severely degraded sequences showing evidence of both Flicker and random shake.

Paper Details

Date Published: 7 May 2003
PDF: 12 pages
Proc. SPIE 5022, Image and Video Communications and Processing 2003, (7 May 2003); doi: 10.1117/12.476584
Show Author Affiliations
Anil Christopher Kokaram, Univ. of Dublin (Ireland)
Rozen Dahyot, Univ. of Dublin (Ireland)
Francois Pitie, Univ. of Dublin (Ireland)
Hugh Denman, Univ. of Dublin (Ireland)

Published in SPIE Proceedings Vol. 5022:
Image and Video Communications and Processing 2003
Bhaskaran Vasudev; T. Russell Hsing; Andrew G. Tescher; Touradj Ebrahimi, Editor(s)

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