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Toplam kayıt 3, listelenen: 1-3
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 ...
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 ...
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 ...