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Degradation Regression with Uncertainty for Blind Super-Resolution

Neurocomputing, 2023
Shang Li   +5 more
openaire   +1 more source

Blind Super-resolution in Two-dimensional Parameter Space

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
In this paper, we provide a new mathematical framework for identifying the parameters of a linear system from its response to multiple unknown waveforms. We assume that the system response is given by an unknown number of scaled versions of time-delayed and frequency-shifted unknown waveforms.
Mohamed A. Suliman, Wei Dai 0001
openaire   +2 more sources

PSF Recovery from Examples for Blind Super-Resolution

2007 IEEE International Conference on Image Processing, 2007
This paper addresses the problem of super-resolving a single image and recovering the characteristics of the sensor using a learning-based approach. In particular, the point spread function (PSF) of the camera is sought by minimizing the mean Euclidean distance function between patches from the input frame and from degraded versions of high-resolution ...
Isabelle Bégin, Frank P. Ferrie
openaire   +1 more source

Multi-Image Blind Super-Resolution of 3D Scenes

IEEE Transactions on Image Processing, 2017
We address the problem of estimating the latent high-resolution (HR) image of a 3D scene from a set of non-uniformly motion blurred low-resolution (LR) images captured in the burst mode using a hand-held camera. Existing blind super-resolution (SR) techniques that account for motion blur are restricted to fronto-parallel planar scenes.
Abhijith Punnappurath   +2 more
openaire   +2 more sources

Kernel Estimation Network for Blind Super-Resolution

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Xiang Cao   +4 more
openaire   +2 more sources

Efficient Blind Image Super-Resolution

2023
Olga Vais, Ilya Makarov
openaire   +1 more source

A single image based blind super-resolution approach

2008 15th IEEE International Conference on Image Processing, 2008
In this paper, we address the problem of producing super- resolved image from a single low-resolution input. Unlike most previous work, the camera's point spread function (PSF) is not assumed to be known in advance and the single image super-resolution problem is formulated as a blind deconvolution problem under a MAP framework which can be optimized ...
Wei Zhang 0021, Wai-kuen Cham
openaire   +2 more sources

Blind Image Super-Resolution: A Survey and Beyond

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Yihao Liu, Yu Qiao, Chao Dong
exaly  

Reference-Based Blind Super-Resolution Kernel Estimation

2022 IEEE International Conference on Image Processing (ICIP), 2022
Mehmet Yamac, Aakif Nawaz, Baran Ataman
openaire   +2 more sources

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