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Toplam kayıt 29, 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 ...
Space-varying blur kernel estimation and image deblurring
(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 ...
Super-resolution restoration of motion blurred images
(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 ...
Frequency division multiplexed imaging: A Texas Instruments DMD implementation
(SPIE-Int Soc Optical Engineering SPIE, 2014)
Recently we proposed frequency division multiplexed imaging (FDMI), which allows capturing multiple images in a single shot through spatial modulation and frequency domain filtering. This is achieved by spatially modulating ...
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 ...