Konu "Super-Resolution" için Scopus İndeksli Yayınlar Koleksiyonu listeleme
Toplam kayıt 5, listelenen: 1-5
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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 ... -
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 ... -
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 ... -
Iterative kernel reconstruction for deep learning-based blind image super-resolution
(IEEE Computer Society, 2022)Deep learning based methods have received a great deal of interest in recent years to solve the single image superresolution (SISR) problem and their performance is proven to be superior when compared to classical SR ... -
Spatial and angular resolution enhancement of light fields using convolutional neural networks
(IEEE-Inst Electrical Electronics Engineers Inc, 2018)Light field imaging extends the traditional photography by capturing both spatial and angular distribution of light, which enables new capabilities, including post-capture refocusing, post-capture aperture control, and ...