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Toplam kayıt 5, listelenen: 1-5
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 ...
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. ...
Extracting sub-exposure images from a single capture through fourier-based optical modulation
(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, ...
Deep learning-based blind image super-resolution with iterative kernel reconstruction and noise estimation
(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 ...