Yazar "Güntürk, Bahadır Kürşat" için listeleme
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Hybrid stereo imaging including a light field and a regular camera
Alam, Muhammad Zeshan; Güntürk, Bahadır Kürşat (Institute of Electrical and Electronics Engineers Inc., 2016)Light field imaging involves capturing both angular and spatial distribution of light; it enables new capabilities, such as post-capture digital refocusing, perspective shift, and depth estimation. Micro-lens array (MLA) ... -
Image enhancement through new techniques in computational photography
Alam, Muhammad Zeshan (İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2019)Quality of a digital image depends on several factors operative during the image formation process, e.g. sensor defects, sensor dynamic range, poor spatial resolution,lens distortion, camera shake and object motion. This ... -
Improved YOLOv4 for aerial object detection
Ali, Sharoze; Siddique, Arslan; Ateş, Hasan Fehmi; Güntürk, Bahadır Kürşat (Institute of Electrical and Electronics Engineers Inc., 2021)Drones equipped with cameras are being used for surveillance purposes. These surveillance systems need vision-based object detection of ground objects which look very small because of the altitude of drones. We propose an ... -
Infrared-to-optical image translation for keypoint-based image registration
Elsaeidy, Mohamed; Erkol, Muhammed Emin; Güntürk, Bahadır Kürşat; Ateş, Hasan Fehmi (Institute of Electrical and Electronics Engineers Inc., 2022)Multi-modal image registration is a critical step in many remote sensing and visual navigation applications. While image registration techniques developed for single modality images do not perform well for multi-modal ... -
Iterative kernel reconstruction for deep learning-based blind image super-resolution
Yıldırım, Süleyman; Ateş, Hasan Fehmi; Güntürk, Bahadır Kürşat (IEEE Computer Society, 2022)Deep learning based methods have received a great deal of interest in recent years to solve the single image superresolution (SISR) problem and their performance is proven to be superior when compared to classical SR ... -
Light field extraction from a conventional camera
Alam, Muhammad Zeshan; Güntürk, Bahadır Kürşat (Elsevier B.V., 2022)This paper presents a single-shot light field (LF) acquisition method using a conventional camera. The proposed method does not require any modification in the camera design and instead involves an offline calibration ... -
Light field registration: A multi-view geometry approach
Mukati, Muhammad Umair; Güntürk, Bahadır Kürşat (Institute of Electrical and Electronics Engineers Inc., 2016)Through capturing spatial and angular radiance distribution, light field cameras bring new capabilities that are not possible with conventional imaging systems. So far in the light field imaging literature, the focus has ... -
Light field super resolution through controlled micro-shifts of light field sensor
Mukati, Muhammad Umair; Güntürk, Bahadır Kürşat (Elsevier Science Bv, 2018)Light field cameras enable new capabilities, such as post-capture refocusing and aperture control, through capturing directional and spatial distribution of light rays in space. Micro-lens array based light field camera ... -
Path loss prediction from heightmap using deep learning
Bal, Mustafa (İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2021)Wireless channel parameters of a region are required for a successful network planning. Sufficient information about those parameters can be obtained by either actual measurements or ray-tracing simulations that use 3D ... -
PL-GAN: Path loss prediction using generative adversarial networks
Marey, Ahmed; Bal, Mustafa; Ateş, Hasan Fehmi; Güntürk, Bahadır Kürşat (IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)Accurate prediction of path loss is essential for the design and optimization of wireless communication networks. Existing path loss prediction methods typically suffer from the trade-off between accuracy and computational ... -
Predicting path loss distribution of an area from satellite ımages using deep learning
Ahmadien, Omar; Ateş, Hasan Fehmi; Baykaş, Tunçer; Güntürk, Bahadır Kürşat (IEEE - Institute of Electrical and Electronics Engineers, Inc., 2020)Path loss prediction is essential for network planning in any wireless communication system. For cellular networks, it is usually achieved through extensive received signal power measurements in the target area. When the ... -
Predicting path loss distributions of a wireless communication system for multiple base station altitudes from satellite images
Shoer, İbrahim; Güntürk, Bahadır Kürşat; Ateş, Hasan Fehmi; Baykaş, Tunçer (IEEE Computer Society, 2022)It is expected that unmanned aerial vehicles (UAVs) will play a vital role in future communication systems. Optimum positioning of UAVs, serving as base stations, can be done through extensive field measurements or ray ... -
Regression of large-scale path loss parameters using deep neural networks
Bal, Mustafa; Marey, Ahmed; Ateş, Hasan Fehmi; Baykaş, Tunçer; Güntürk, Bahadır Kürşat (IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)Path loss exponent and shadowing factor are among important wireless channel parameters. These parameters can be estimated using field measurements or ray-tracing simulations, which are costly and time-consuming. In this ... -
Space-variant blur kernel estimation and image deblurring through kernel clustering
Alam, Muhammad Zeshan; Qian, Qinchun; Güntürk, Bahadır Kürşat (Elsevier B.V., 2019)This paper presents a space-variant blur kernel estimation and image deblurring framework. For space-variant blur kernel estimation, the input image is divided into small patches, and for each patch, the blur kernel is ... -
Space-varying blur kernel estimation and image deblurring
Qian, Qinchun; Güntürk, Bahadır Kürşat (SPIE, 2014)In recent years, we have seen highly successful blind image deblurring algorithms that can even handle large motion blurs. Most of these algorithms assume that the entire image is blurred with a single blur kernel. This ... -
Spatial and angular resolution enhancement of light fields using convolutional neural networks
Gül, Muhammed Shahzeb Khan; Güntürk, Bahadır Kürşat (IEEE-Inst Electrical Electronics Engineers Inc, 2018)Light field imaging extends the traditional photography by capturing both spatial and angular distribution of light, which enables new capabilities, including post-capture refocusing, post-capture aperture control, and ... -
Super resolution of light fields using convolutional neural network
Gul, Muhammad Shahzeb Khan (İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2018)Light field imaging extends the traditional photography by capturing both spatial and angular distribution of light, which enables new capabilities, including post-capture refocusing, post-capture aperture control, and ... -
Super-resolution restoration of motion blurred images
Qian, Qinchun; Güntürk, Bahadır Kürşat (SPIE, 2014)In this paper, we investigate super-resolution image restoration from multiple images, which are possibly degraded with large motion blur. The blur kernel for each input image is separately estimated. This is unlike many ... -
Swin transformer based siamese network for thermal and optical image registration
Elsaeidy, Mohamed; Yağmur, İsmail Can; Ateş, Hasan Fehmi; Güntürk, Bahadır Kürşat (IEEE-Institute of Electrical and Electronics Engineers, 2023)The process of multi-modal image registration is fundamental in remote sensing and visual navigation applications. However, existing image registration methods that are designed for single modality images do not provide ...