S
Sina Farsiu
Researcher at Duke University
Publications - 276
Citations - 17157
Sina Farsiu is an academic researcher from Duke University. The author has contributed to research in topics: Optical coherence tomography & Macular degeneration. The author has an hindex of 57, co-authored 260 publications receiving 14702 citations. Previous affiliations of Sina Farsiu include Durham University & University of Tehran.
Papers
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Fast and robust multiframe super resolution
TL;DR: This paper proposes an alternate approach using L/sub 1/ norm minimization and robust regularization based on a bilateral prior to deal with different data and noise models and demonstrates its superiority to other super-resolution methods.
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Kernel Regression for Image Processing and Reconstruction
TL;DR: This paper adapt and expand kernel regression ideas for use in image denoising, upscaling, interpolation, fusion, and more and establishes key relationships with some popular existing methods and shows how several of these algorithms are special cases of the proposed framework.
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Advances and Challenges in Super-Resolution
TL;DR: A detailed study of several very important aspects of Super‐Resolution, often ignored in the literature, are presented, and robustness, treatment of color, and dynamic operation modes are discussed.
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Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation
TL;DR: This paper presents an automatic approach for segmenting retinal layers in Spectral Domain Optical Coherence Tomography images using graph theory and dynamic programming and results show that this method accurately segments eight retinal layer boundaries in normal adult eyes more closely to an expert grader as compared to a second expert graders.
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Multiframe demosaicing and super-resolution of color images
TL;DR: A fast and robust hybrid method of super-resolution and demosaicing, based on a maximum a posteriori estimation technique by minimizing a multiterm cost function is proposed.