Results 251 to 260 of about 2,688,199 (290)

Non-stationary blind super-resolution

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
In this paper, we propose a new framework for parameter estimation of complex exponentials from their modulations with unknown waveforms via convex programming. Our model generalizes the recently developed blind sparse spike deconvolution framework by Y. Chi [1] to the non-stationary scenario and encompasses a wide spectrum of applications.
Dehui Yang, Gongguo Tang, Michael B. Wakin   +2 more
openaire   +2 more sources

Deep Blind Super-Resolution for Hyperspectral Images

Pattern Recognition
Pei Yang, Xiaoguang Mei, Jiayi Ma
exaly   +3 more sources

Simple, Accurate, and Robust Nonparametric Blind Super-Resolution [PDF]

Lecture Notes in Computer Science, 2015
This paper proposes a simple, accurate, and robust approach to single image nonparametric blind Super-Resolution (SR). This task is formulated as a functional to be minimized with respect to both an intermediate super-resolved image and a nonparametric blur-kernel.
Wenze Shao, Michael Elad
exaly   +4 more sources

Patch based blind image super resolution

Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005
In this paper, a novel method for learning based image super resolution (SR) is presented. The basic idea is to bridge the gap between a set of low resolution (LR) images and the corresponding high resolution (HR) image using both the SR reconstruction constraint and a patch based image synthesis constraint in a general probabilistic framework. We show
Qiang Wang 0023, Xiaoou Tang, Harry Shum
openaire   +1 more source

KOALAnet: Blind Super-Resolution Using Kernel-Oriented Adaptive Local Adjustment

, 2021
Blind super-resolution (SR) methods aim to generate a high quality high resolution image from a low resolution image containing unknown degradations.
Munchurl Kim
exaly   +2 more sources

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 of Faces for Surveillance

2021
Super-resolution (SR) refers to a class of techniques that derive a high resolution image from its low resolution (LR) counterpart. A vast amount of literature exists on SR spanning both multi and single image approaches.
T. M. Nimisha, A. N. Rajagopalan
openaire   +1 more source

Blind super-resolution of sparse spike signals

2015 49th Asilomar Conference on Signals, Systems and Computers, 2015
In many applications, the observations can be modeled as a linear combination of a small number of scaled and shifted copies of a bandlimited point spread function, either determined by the nature or designed by the users. Examples include neural spike trains, returns in radar and sonar, images in astronomy and single-molecule microscopy, etc. It is of
openaire   +1 more source

MAP Based Blind Super-Resolution

2012 International Conference on Industrial Control and Electronics Engineering, 2012
Super-resolution is the process of obtaining a high resolution image from multiple low resolution images. In most of the super-resolution algorithms, the blur parameter of a LR-image model always have to be manually set as a default value, this is not a good solution.
Liu Gang, Hu Zhenlong
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