M
Muhammed Ibrahim Sezan
Researcher at Sharp
Publications - 77
Citations - 4777
Muhammed Ibrahim Sezan is an academic researcher from Sharp. The author has contributed to research in topics: Image restoration & Motion estimation. The author has an hindex of 29, co-authored 77 publications receiving 4749 citations. Previous affiliations of Muhammed Ibrahim Sezan include University of California, Davis & Eastman Kodak Company.
Papers
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Patent
Audiovisual information management system
TL;DR: In this article, the authors describe a usage preferences description, describing preferences of a user with respect to the use of at least one of the audio, image, and video, where the description normally includes multiple preferences.
Journal ArticleDOI
Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture time
TL;DR: Experimental results with real video demonstrate that a significant increase in the image resolution can be achieved by taking the motion blurring into account especially when there exists large interframe motion.
Proceedings ArticleDOI
High-resolution image reconstruction from lower-resolution image sequences and space-varying image restoration
TL;DR: A new two-step procedure is proposed, and it is shown that the POCS formulation presented for the high-resolution image reconstruction problem can also be used as a new method for the restoration of spatially invariant blurred images.
Journal ArticleDOI
Image Restoration by the Method of Convex Projections: Part 2-Applications and Numerical Results
Muhammed Ibrahim Sezan,H. Stark +1 more
TL;DR: The results show that the method of image restoration by projection onto convex sets, by providing a convenient technique for utilizing a priori information, performs significantly better than the Gerchberg-Papoulis method.
Journal ArticleDOI
Adaptive motion-compensated filtering of noisy image sequences
TL;DR: The results demonstrate that the proposed AWA filter-outperforms the LMMSE filter, especially in the cases of low signal-to-noise ratios and abruptly varying scene content.