A Sampling Based Approach To Line Scratch Removal From Motion Picture Frames (1996)
| Venue: | In Proc. IEEE International Conference on Image Processing |
| Citations: | 9 - 1 self |
BibTeX
@INPROCEEDINGS{Morris96asampling,
author = {Robin D. Morris and Sophia Antipolis and W. J. Fitzgerald and A. C. Kokaram},
title = {A Sampling Based Approach To Line Scratch Removal From Motion Picture Frames},
booktitle = {In Proc. IEEE International Conference on Image Processing},
year = {1996},
pages = {801--804}
}
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Abstract
We address the problem of detecting, and subsequently removing, `line scratch' distortion in motion picture frames (see figure 4). A model for the lines' interaction with the image data is constructed. A sampling based algorithm based on the Reversible Jump Markov chain Monte Carlo framework is developed which enables automatic determination of both the unknown number of lines present, together with the lines' parameters. Previous work has not attempted to automatically determine the number of lines present [1]. Our approach is widely applicable in many object recognition problems, where the number of objects is unknown.
Citations
| 449 | Probabilistic inference using Markov chain Monte Carlo methods - Neal - 1993 |
| 100 | Reversible Jump MCMC Computation and Bayesian Model Determination - Green - 1995 |
| 64 | Interpolation of Missing Data in Image Sequences - Kokaram, Fitzgerald, et al. - 1995 |
| 14 | Detection and removal of line scratches in degraded motion picture sequences, in: Signal Processing VIII: Theories and Applications - Kokaram - 1996 |
| 8 | Markov chain Monte Carlo in image analysis - Green - 1996 |
| 1 | Monte Carlo sampling methods us ing Markov Chains and their applications - Hastings - 1970 |
