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Toplam kayıt 29, listelenen: 11-20
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 ...
Predicting path loss distribution of an area from satellite ımages using deep learning
(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 ...
HM-net: A regression network for object center detection and tracking on wide area motion imagery
(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 ...
Space-variant blur kernel estimation and image deblurring through kernel clustering
(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 ...
Light field extraction from a conventional camera
(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 ...
Extending depth of field and dynamic range from differently focused and exposed images
(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 ...
Hybrid light field imaging for improved spatial resolution and depth range
(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. ...
Blind super-resolution restoration with frame-by-frame nonparametric blur estimation
(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 ...