搜索资源列表
A-NOVEL-SEPARATING-STRATEGY
- 自己最近中的ICIP会议论文，主要是有关人脸超分辨率重建方面的研究，网上貌似还没有下载资源，现在先po上来，有兴趣的大家一起讨论呀-my recent ICIP conference paper, mainly on face super-resolution reconstruction online seemingly have not downloaded resources first po up now interested we can discuss it
2011_7_1_49_56
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
859398
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
00913592
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
00941854
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
01262011
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
baker_simon_1999_3
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
pxc3876788
- Support vector regression has been proposed in a number of image processing tasks including blind image deconvolution, image denoising and single frame super-resolution. As for other machine learning methods, the training is slow. In this paper,
Structure-Analysis-of-Patches
- 通过块结构分析的基于样例学习的超分辨率重建-Example-Based Super-Resolution via Structure Analysis of Patches
123
- 利用互信息，进行基于互信息的图像超分频重建-A Mutual Information Based Sub-Pixel Registration Method for Image Super Resolution
SparseRepresentationaItsApplication
- 稀疏表达及其应用的简单介绍，其中涵盖了稀疏表示、特征提取、压缩感知、图像增强、盲源分离、模式分类、目标跟踪和图像超分辨等。PPT和PDF是对应的，并添加了可视化的结果。-Sparse Representation and Its Application: Compressive Sensing, Visual Feature, Image Enhancement, Blind Source Separation, Pattern Classification, Object Tracking a
SKR
- 最先进的图像超分辨算法，由美国加州大学Milanfar教授提出。-Latest image super resolution algorithm, propose by Professor Milanfar @ University of California
LZSR4345556-
- yangjianchao将稀疏编码引入到超分辨率重建的文章-Yangjianchao will be introduced to the sparse coding super-resolution reconstruction
1
- 一种未知信源数的高分辨DOA 估计算法：众多性能优良的超分辨波达方向(DOA)估计算法通常需要预先判定信源数目，然而，现有的信源数估计 算法在有限采样快拍条件下，估计性能随着信噪比的降低而下降，错误概率也相应增加，最终导致DOA 估计失败。 该文提出一种超分辨的DOA 估计算法，此算法不需要预判信源个数和进行特征值分解，同时在时变环境中，针对 快拍数较少的情况下，依然保持较高的角度分辨能力，可以被认为是综合了Capon 法和MUSIC 法的优点。-Algorithm on High
Algebraic-Reconstruction
- 该文档能够完成车牌超分辨率重建，能够达到良好的重建效果-This document can complete license plate super-resolution reconstruction, reconstruction can achieve good effect
paper3
- 基于MAP的单帧字符图像超分辨率重建-Single frame character image super-resolution reconstruction based on MAP
chaofentu
- 彩色图像超分辨率技术的研究 彩色图像超分辨率技术的研究 -Color image super resolution technology research
SR-Gausian
- Single Image Super-Resolution using Gaussian Process Regression Method
Coupled-Constraint-MAP
- Joint Learning for Single-Image Super-Resolution via a Coupled Constraint Method
Non-Parametric-Approach-2012
- A Bayesian Nonparametric Approach to Image Super-Resolution