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Aysun Tasyapi Çelebi
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Journal Articles
- 2023
- [j7]Ramazan Duvar
, Ayhan Küçükmanisa
, Orhan Akbulut, Aysun Tasyapi Çelebi, Oguzhan Urhan:
SIMD-based low bit-depth motion estimation with application to HEVC. Signal Image Video Process. 17(4): 1449-1456 (2023) - 2022
- [j6]Asli Çelik, Ayhan Küçükmanisa
, Aydin Sümer, Aysun Tasyapi Çelebi, Oguzhan Urhan
:
A real-time defective pixel detection system for LCDs using deep learning based object detectors. J. Intell. Manuf. 33(4): 985-994 (2022) - 2018
- [j5]Aysun Tasyapi Çelebi
, Seda Yavuz, Anil Çelebi
, Oguzhan Urhan
:
Selective Gray-Coded Bit-Plane-Based Two-Bit Transform and Its Efficient Hardware Architecture for Low-Complexity Motion Estimation. IEEE Trans. Consumer Electron. 64(3): 259-266 (2018) - 2017
- [j4]Aysun Tasyapi Çelebi:
Two-bit transform using local binary pattern method for low-complexity block motion estimation. Turkish J. Electr. Eng. Comput. Sci. 25: 4593-4601 (2017) - [j3]Aysun Tasyapi Çelebi, Seda Yavuz, Anil Çelebi
, Oguzhan Urhan
:
One-dimensional filtering based two-bit transform and its efficient hardware architecture for fast motion estimation. IEEE Trans. Consumer Electron. 63(4): 377-385 (2017) - 2015
- [j2]Aysun Tasyapi Çelebi, Ramazan Duvar, Oguzhan Urhan
:
Fuzzy fusion based high dynamic range imaging using adaptive histogram separation. IEEE Trans. Consumer Electron. 61(1): 119-127 (2015) - 2012
- [j1]Aysun Tasyapi Çelebi, Sarp Ertürk:
Visual enhancement of underwater images using Empirical Mode Decomposition. Expert Syst. Appl. 39(1): 800-805 (2012)
Conference and Workshop Papers
- 2023
- [c16]Koray Ugur Erbas, Aysun Tasyapi Çelebi:
Modeling Camera ISP Pipeline with Deep Learning. SIU 2023: 1-4 - [c15]Sinan Özen, Uygar Kaya, Abdurrahim Semiz, Mustafa Fatih Yalçin, Aysun Tasyapi Çelebi:
Lane Type Classification & Distance Measurement System for Autonomous Vehicle. SIU 2023: 1-4 - 2022
- [c14]Josphat Chege Njuguna, Emre Alabay, Anil Çelebi, Aysun Tasyapi Çelebi, Mehmet Kemal Güllü:
Efficient Hardware Implementation of Real-Time Object Tracking. SIU 2022: 1-4 - 2021
- [c13]Asli Çelik, Ayhan Küçükmanisa, Aydin Sümer, Aysun Tasyapi Çelebi, Oguzhan Urhan
:
LCD Pixel Defect Detection using Shallow CNN Based Approach. INISTA 2021: 1-6 - [c12]Josphat Chege Njuguna, Emre Alabay, Anil Çelebi, Aysun Tasyapi Çelebi, Mehmet Kemal Güllü:
Field Programmable Gate Arrays Implementation of Two-Point Non-Uniformity Correction and Bad Pixel Replacement Algorithms. INISTA 2021: 1-6 - [c11]Hilal Bozkurt, Aysun Tasyapi Çelebi:
Gaussian Filter Based Digital Detail Enhancement in Thermal Images. SIU 2021: 1-4 - 2019
- [c10]Aydin Sümer, Asli Çelik, Ayhan Küçükmanisa, Aysun Tasyapi Çelebi, Oguzhan Urhan
:
Pixel Defect Detection in LCD TV Images using Adaptive Thresholding. SIU 2019: 1-4 - 2018
- [c9]Ramazan Duvar, Ayhan Kucukmanisa
, Orhan Akbulut, Aysun Tasyapi Çelebi, Oguzhan Urhan
:
Performance analysis of one-bit transform based motion estimation using sparse search on HEVC. SIU 2018: 1-4 - 2017
- [c8]Ramazan Duvar, Ayhan Kucukmanisa
, Orhan Akbulut, Aysun Tasyapi Çelebi, Oguzhan Urhan
:
Implementation of 1 -bit transform based motion estimation to HEVC encoder. SIU 2017: 1-4 - [c7]Seda Yavuz, Aysun Tasyapi Çelebi, Anil Çelebi
, Oguzhan Urhan
:
Integer 1-bit transform method and its hardware architecture for low-complexity block-based motion estimation. SIU 2017: 1-4 - [c6]Seda Yavuz, Aysun Tasyapi Çelebi, Anil Çelebi
, Oguzhan Urhan
:
Local binary pattern method and its hardware architecture for low-complexity motion estimation. SIU 2017: 1-4 - 2015
- [c5]Aysun Tasyapi Çelebi, Ramazan Duvar, Oguzhan Urhan
:
High dynamic range imaging on a mobile device using single input image. SIU 2015: 1582-1585 - [c4]Orhan Akbulut, Aysun Tasyapi Çelebi, Oguzhan Urhan
:
Implementation of truncated gray-coded bit-plane matching based motion estimation to HEVC. SIU 2015: 2230-2233 - 2013
- [c3]Aysun Tasyapi Çelebi, M. Kemal Güllü
, Sarp Ertürk:
Enhancement of fog degraded images using empirical mode decomposition. SIU 2013: 1-4 - 2012
- [c2]Aysun Tasyapi Çelebi, Sarp Ertürk:
Visual enhancement of underwater images using Empirical Mode Decomposition and wavelet denoising. SIU 2012: 1-4 - 2010
- [c1]Aysun Tasyapi Çelebi, Sarp Ertürk:
Empirical mode decomposition based visual enhancement of underwater images. IPTA 2010: 221-224
Coauthor Index
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