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Toplam kayıt 25, listelenen: 1-10
Deconvolution based light field extraction from a single image capture
(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 ...
Light field registration: A multi-view geometry approach
(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 ...
Hybrid stereo imaging including a light field and a regular camera
(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) ...
High dynamic range imaging using a plenoptic camera
(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 ...
Analysis of deep learning based path loss prediction from satellite images
(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 ...
Improved YOLOv4 for aerial object detection
(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 ...
Deep learning-based blind image super-resolution using iterative networks
(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 ...
Infrared-to-optical image translation for keypoint-based image registration
(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 ...
Dynamic range and depth of field extension using camera array
(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 ...
PL-GAN: Path loss prediction using generative adversarial networks
(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 ...