S
Sarp Erturk
Researcher at Kocaeli University
Publications - 244
Citations - 3048
Sarp Erturk is an academic researcher from Kocaeli University. The author has contributed to research in topics: Hyperspectral imaging & Motion estimation. The author has an hindex of 28, co-authored 244 publications receiving 2777 citations. Previous affiliations of Sarp Erturk include University of Essex.
Papers
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Digital image stabilization with sub-image phase correlation based global motion estimation
TL;DR: This paper presents digital image stabilization with sub-image phase correlation based global motion estimation and Kalman filtering based motion correction and Kal man filtered for stabilization.
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Hyperspectral Image Classification Using Relevance Vector Machines
Begum Demir,Sarp Erturk +1 more
TL;DR: It is shown that approximately the same classification accuracy is obtained using RVM- based classification, with a significantly smaller relevance vector rate and, therefore, much faster testing time, compared with SVM-based classification.
Journal ArticleDOI
Two-bit transform for binary block motion estimation
Alp Erturk,Sarp Erturk +1 more
TL;DR: The proposed 2BT-based motion estimation technique improves motion estimation accuracy in terms of peak signal-to-noise ratio of reconstructed frames and also results in visually more accurate frames subsequent to motion compensation compared to the 1BT- based motion estimation approach.
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Multiplication-Free One-Bit Transform for Low-Complexity Block-Based Motion Estimation
TL;DR: In this article, a multiplication-free one-bit transform (1BT) for low-complexity block-based motion estimation is presented, which can be implemented in integer arithmetic using addition and shifts only, reducing the computational complexity, processing time, and power consumption.
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Real-Time Digital Image Stabilization Using Kalman Filters
TL;DR: A novel, real-time stabilization system that uses Kalman filters to remove short-term image fluctuations with retained smooth gross movements and it is shown that the process noise variance has a direct effect on stabilization performance.