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Title: Extraction of Non-Binary Blotch Mattes.
Other Titles: Image Processing (ICIP), 2009 16th IEEE International Conference on
IEEE Conference on image Processing (ICIP'09).
Sponsor: Irish Research Council for Science Engineering and Technology
Science Foundation Ireland
Author's Homepage:
Keywords: Blotch, transparency, Bayesian matting, MRF, removal, opacity, non-binary, matte, frames, fusion.
Issue Date: 2009
Publisher: IEEE
Citation: Ahmed, Mohamed A.; Pitie, Francois; Kokaram, Anil C., Extraction of Non-Binary Blotch Mattes., Image Processing (ICIP), 2009 16th IEEE International Conference on , IEEE Conference on image Processing (ICIP'09)., Cairo, Egypt, IEEE, 2009, 2757 - 2760
Abstract: Automated blotch removal is important in film restoration and typically involves a detection/interpolation step. Current algorithms model the corruption as a binary mixture between the original, clean images and an opaque (dirt) field. This typically causes incomplete blotch removal that manifests as blotch haloes in reconstruction. This paper proposes a new approach by modeling the corruption as a continuous mixture between the two components and generating a solution using a Bayesian framework. We use novel priors, propose a computationally efficient scheme for implementation and our results show more complete blotch reconstruction.
Description: PUBLISHED
Appears in Collections:Electronic & Electrical Eng (Scholarly Publications)

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