Browsing by Author "Alam, Muhammad Zeshan"
Now showing items 1-9 of 9
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Analysis of deep learning based path loss prediction from satellite images
Alam, Muhammad Zeshan; Ateş, Hasan Fehmi; Baykaş, Tunçer; Güntürk, Bahadır Kürşat (Institute of Electrical and Electronics Engineers Inc., 2021)Determining the channel model parameters of a wireless communication system, either by measurements or by running electromagnetic propagation simulations, is a time-consuming process. Any rapid deployment of network demands ... -
Deconvolution based light field extraction from a single image capture
Alam, Muhammad Zeshan; Güntürk, Bahadır Kürşat (IEEE Computer Society, 2018)In this paper, we propose a method to extract light field using a conventional camera from a single image capture. The method involves an offline calibration process, where point spread functions, relating different ... -
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 ... -
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 ... -
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. ... -
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 ... -
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 ... -
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 ...
