7 May 2003 Simultaneous luminance and position stabilization for film and video
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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.
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Anil Christopher Kokaram, Anil Christopher Kokaram, Rozen Dahyot, Rozen Dahyot, Francois Pitie, Francois Pitie, Hugh Denman, Hugh Denman, } "Simultaneous luminance and position stabilization for film and video", Proc. SPIE 5022, Image and Video Communications and Processing 2003, (7 May 2003); doi: 10.1117/12.476584; https://doi.org/10.1117/12.476584
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