Results 241 to 250 of about 137,048 (270)

A VQ-Based Blind Super-Resolution Algorithm

2005
In this paper, a novel method of blind Super-Resolution (SR) image restoration is presented. First, a learning based blur identification method is proposed to identify the blur parameter in which Sobel operator and Vector Quantization (VQ) are used for extracting feature vectors.
Jianping Qiao, Ju Liu, Guoxia Sun
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   +1 more source

A Novel SVM-Based Blind Super-Resolution Algorithm

The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006
In this paper, we propose a novel support vector machines (SVM)-based method of blind super-resolution (SR) image restoration. First, a blur identification method is proposed to identify the blur parameter of the acquisition system from the compressed/uncompressed low-resolution image.
Jianping Qiao, Ju Liu, Caihua Zhao
openaire   +1 more source

Blind Super-Resolution with Deep Convolutional Neural Networks

2016
Example-based methods have demonstrated their ability to perform well for Single Image Super-Resolution (SR). While very efficient when a single image formation model (non-blind) is assumed for the low-resolution (LR) observations, they fail when a LR image is not compliant with this model, producing noticeable artifacts on the final SR image.
Peyrard, Clément, Garcia, Christophe, Baccouche, Moez   +2 more
openaire   +1 more source

Degradation Regression with Uncertainty for Blind Super-Resolution

Neurocomputing, 2023
Shang Li, Guixuan Zhang, Zhengxiong Luo 0001, Jie Liu 0028, Zhi Zeng, Shuwu Zhang   +5 more
openaire   +1 more source

Kernel Estimation Network for Blind Super-Resolution

ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Xiang Cao, Haibo Shen, Liangqi Zhang, Yihao Luo, Tianjiang Wang   +4 more
openaire   +1 more source

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

Reference-Based Blind Super-Resolution Kernel Estimation

2022 IEEE International Conference on Image Processing (ICIP), 2022
Mehmet Yamac, Aakif Nawaz, Baran Ataman
openaire   +1 more source

From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution

Information Fusion, 2023
Qiangqiang Yuan, Kui Jiang, Jiang He
exaly  

From general to specific: Online updating for blind super-resolution

Pattern Recognition, 2022
Shang Li, Guixuan Zhang, Zhengxiong Luo   +2 more
exaly