搜索结果: 1-14 共查到“Super resolution”相关记录14条 . 查询时间(0.046 秒)
第二届图像恢复和增强新趋势研讨会（2nd NTIRE: New Trends in Image Restoration and Enhancement workshop and challenge on super-resolution）
第二届 图像恢复和增强新趋势 研讨会
2017/6/22
Image restoration and image enhancement are key computer vision tasks, aiming at the restoration of degraded image content or the filling in of missing information. Recent years have witnessed an incr...
Super-Resolution from Noisy Data
Deconvolution stable signal recovery sparsity line spectra estimation basis mismatch superresolution factor
2015/6/17
This paper studies the recovery of a superposition of point sources from noisy bandlimited data. In the fewest possible words, we only have information about the spectrum of an object in the lowfreque...
Towards a Mathematical Theory of Super-Resolution
Diffraction limit deconvolution stable signal recovery sparsity sparse spike trains, `1 minimization dual certificates interpolation super-resolution semidefinite programming
2015/6/17
This paper develops a mathematical theory of super-resolution. Broadly speaking, superresolution is the problem of recovering the fine details of an object—the high end of its spectrum— from coarse sc...
Super-resolution via Transform-invariant Group-sparse Regularization
Super-resolution Transform-invariant Group-sparse
2015/6/17
We present a framework to super-resolve planar regions found in urban scenes and other man-made environments by taking into account their 3D geometry. Such regions have highly structured straight edge...
In single-molecule microscopy it is necessary to locate with high precision point sources from noisy observations of the spectrum of the signal at frequencies capped by fc, which is just about the fre...
Transductive Regression with Local and Global Consistency for Image Super-Resolution
Transductive Regression Global Consistency
2013/7/24
In this paper, we propose a novel image super-resolution algorithm, referred to as interpolation based on transductive regression with local and globalconsistency (TRLGC). Our algorithmfirst con...
On a link between kernel mean maps and Fraunhofer diffraction, with an application to super-resolution beyond the diffraction limit
On a link between kernel mean maps Fraunhofer diffraction an application super-resolution beyond the diffraction limit
2013/4/28
We establish a link between Fourier optics and a recent construction from the machine learning community termed the kernel mean map. Using the Fraunhofer approximation, it identifies the kernel with t...
Contextual Dictionaries for Image Super Resolution
Super resolution sparse representation contextual dictionary KSVD
2013/7/24
Traditional super resolution (SR) methods based on sparse representation have shown their excellent performance, however, the methods usually perform even worse when the input images and the training ...
Robust Video Super-Resolution with Registration Efficiency Adaptation
Robust Video Super-Resolution Registration Efficiency Adaptation
2010/12/21
Super-Resolution (SR) is a technique to construct a high-resolution (HR) frame by fusing a group of low-resolution (LR)frames describing the same scene. The effectiveness of the conventional super-res...
Block Adaptive Super Resolution Video Coding
Super-resolution interpolation rate-distortion cost
2013/7/16
Super resolution technique was first proposed for enhancing the image resolution, and then it was expanded to video sequence for obtaining a higher resolution video from low resolution input. Recently...
LOCALITY PRESERVING CONSTRAINTS FOR SUPER-RESOLUTION WITH NEIGHBOR EMBEDDING
Super-resolution Neighbor embedding Manifold assumption Locality preserving constraints
2013/7/16
In this paper, we revisit the manifold assumption which has been widely adopted in the learning-based image superresolution. The assumption states that point-pairs from the high-resolution manifold sh...
Improved Image Fusion in PET/CT Using Hybrid Image Reconstruction and Super-Resolution
Improved Image Fusion PET/CT
2009/9/8
Purpose. To provide PET/CT image fusion with an improved PET resolution and better contrast ratios than standard reconstructions. Method. Using a super-resolution algorithm, several PET acquisitions w...
Locality Preserving Constraints for Super Resolution with Neighbor Embedding
Locality Preserving Constraints Super Resolution Neighbor Embedding
2010/12/20
In this paper, we revisit the manifold assumption which has been widely adopted in the learning-based image superresolution. The assumption states that point-pairs from the
high-resolution manifold s...
Super resolution technique was first proposed for enhancing the image resolution, and then it was expanded to video sequence for obtaining a higher resolution video from low resolution input. Recently...