ORCID "0000-0003-0779-9620" Makale Koleksiyonu için listeleme
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Blind super-resolution restoration with frame-by-frame nonparametric blur estimation
Qian, Qinchun; Güntürk, Bahadır Kürşat (Springer, 2016)In this paper, we investigate super-resolution image restoration from multiple images, which are possibly degraded with large nonparametric motion blur. The blur kernel for each input image is separately estimated. This ... -
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 ... -
Extending depth of field and dynamic range from differently focused and exposed images
Qian, Qinchun; Güntürk, Bahadır Kürşat (Springer, 2016)Focus stacking and high dynamic range (HDR) imaging are two paradigms of computational photography. Focus stacking aims to produce an image with greater depth of field (DOF) from a set of images taken with different focus ... -
Extracting sub-exposure images from a single capture through fourier-based optical modulation
Khan, Shah Rez; Feldman, Martin; Güntürk, Bahadır Kürşat (Elsevier Science Bv, 2018)Through pixel-wise optical coding of images during exposure time, it is possible to extract sub-exposure images from a single capture. Such a capability can be used for different purposes, including high-speed imaging, ... -
High dynamic range imaging using a plenoptic camera
Wahab, Abdullah; Alam, Muhammad Zeshan; Güntürk, Bahadır Kürşat (Institute of Electrical and Electronics Engineers Inc., 2017)Light field (or plenoptic) imaging has become an attractive research field due to its post-capture capabilities, including refocusing, perspective change and depth estimation. Micro-lens array based cameras that recently ... -
HM-net: A regression network for object center detection and tracking on wide area motion imagery
Motorcu, Hakkı; Ateş, Hasan Fehmi; Uğurdağ, Hasan Fatih; Güntürk, Bahadır Kürşat (IEEE-Institute of Electrical and Electronics Engineers Inc., 2022)Wide Area Motion Imagery (WAMI) yields high resolution images with a large number of extremely small objects. Target objects have large spatial displacements throughout consecutive frames. This nature of WAMI images makes ... -
HMRN: heat map regression network to detect and track small objects in wide-area motion imagery
Ateş, Hasan Fehmi; Siddique, Arslan; Güntürk, Bahadır (Springer Science and Business Media Deutschland GmbH, 2023)We propose HMRN, a deep heat map regression network to detect and track small moving objects in wide-area motion imagery (WAMI) by modifying a deep multi-object tracker. Object detection in WAMI images is challenging, ... -
Hybrid light field imaging for improved spatial resolution and depth range
Alam, Muhammad Zeshan; Güntürk, Bahadır Kürşat (Springer, 2018)Light field imaging involves capturing both angular and spatial distribution of light; it enables new capabilities, such as post-capture digital refocusing, camera aperture adjustment, perspective shift, and depth estimation. ... -
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 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 ... -
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 ... -
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 ... -
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 ...