Kurum Yazarı "Güntürk, Bahadır Kürşat" Fakülteler İçin Listeleme
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Deep learning-based blind image super-resolution using iterative networks
Yaar, Asfand; Ateş, Hasan Fehmi; Güntürk, Bahadır Kürşat (Institute of Electrical and Electronics Engineers Inc., 2021)Deep learning-based single image super-resolution (SR) consistently shows superior performance compared to the traditional SR methods. However, most of these methods assume that the blur kernel used to generate the ... -
Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation
Ateş, Hasan Fehmi; Yıldırım, Süleyman; Güntürk, Bahadır Kürşat (Academic Press Inc., 2023)Blind single image super-resolution (SISR) is a challenging task in image processing due to the ill-posed nature of the inverse problem. Complex degradations present in real life images make it difficult to solve this ... -
Dual camera based high spatio-temporal resolution video generation for wide area surveillance
Suluhan, Hasan Umut; Ateş, Hasan Fehmi; Güntürk, Bahadır Kürşat (Institute of Electrical and Electronics Engineers Inc., 2022)Wide area surveillance (WAS) requires high spatiotemporal resolution (HSTR) video for better precision. As an alternative to expensive WAS systems, low-cost hybrid imaging systems can be used. This paper presents the usage ... -
Dynamic range and depth of field extension using camera array
Alam, Muhammad Zeshan; Güntürk, Bahadır Kürşat (Institute of Electrical and Electronics Engineers Inc., 2022)Computational imaging aims to extend the capabilities of conventional imaging systems by extracting richer and more meaningful information through multiple captures or by modifying the camera’s sensors and optics. In ... -
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 ... -
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 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 ... -
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 ...