搜索资源列表
FFD4D
- 一种基于正则化总变图像处理方法,很好,值得研究此方面的朋友研究-Based on the image processing method for total variation regularization, good, worthy of study in this regard friends
Perona_Malik
- 基于各向异性扩散的非线性正则化Perona-Malik模型,实现对图像的平滑滤波-Regularization based on nonlinear anisotropic diffusion Perona-Malik model, image smoothing filter
function1111
- 一种基于TV正则化的自适应图像去模糊方法:最小优化算法-Based on TV regularization adaptive image deblurring method: Minimal Optimization
Lee
- 考虑亚像素配准误差的正则化高分辨图像复原算法,是Eun Sil Lee这人发表的论文-Regularized Adaptive High-Resolution Image Reconstruction Considering Inaccurate Subpixel Registration
HyperspectralDetection
- VC++实现的高光谱图像RX,正则化RX,CEM,单位化CEM及样本加权CEM算法。 程序中有自己封装的矩阵类。 程序使用opencv显示结果。-The hyperspectral images RX achieve VC++ regular RX, CEM, of unitised CEM and sample weighted CEM algorithm. Program in their package matrices. Using opencv program displays
HyperspectralDetection_NoTemplate
- VC++编程实现的高光谱图像处理算法,包括RX ,正则化RX,CEM,单位化CEM和样本加权CEM。 程序中封装了矩阵类,这次封装没有使用模板类,可以减小程序体积。-Hyperspectral image processing algorithms the VC++ programming, including RX is the RX, CEM, the unitised CEM and sample weighted CEM. Program encapsulated in a matr
demoBagSVM
- 一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章:Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。-A semi-supervised SVM is presented for the classification of remote sensing images. The
Low-patch-tv-denoising
- 采用低块秩的正则化方法,对规则图像进行去噪,能达到较好效果-denoising using low-patch regularizationl and TV leading to a good result
DRLSE_v0
- 本程序包采用距离正则化的水平集的方法,对多种图像进行处理和分割,实验结果表明,分割结果比传统水平集方法好很多-This package uses the distance regularized level set method, a variety of image processing and segmentation, experimental results show that the segmentation result is much better than the traditi
Tikhonov-in-pMRI
- Tikhonov正则化在并行磁共振图像重建中的应用-Tikhonov regularization in parallel magnetic resonance image reconstruction
code
- 自适应选择正则化参数和范数的非盲图像复原方法,效果真心不错。-Select the non-blind adaptive image restoration method parameters and norm regularization, the effect really good.
cs_romp
- 压缩感知图像重构程序设计,采用正则化正交匹配追踪算法实现图像重构-Compressed sensing image reconstruction program design, using regularized orthogonal matching pursuit algorithm for image reconstruction
DRLSE_v0
- 水平集正则化在图像分割方面的应用,分割效果更好,相当好的一个算法-Distance Regularized Level Set Evolution and Its Application to Image Segmentation
Regularization-toolbox
- 正则化工具箱,用于图像去噪,去模糊,修补等重建问题。-Regularization toolbox for image denoising, deblurring, repair and other reconstruction problems.
mrics
- 代码的mrics。M’是从他们的傅立叶系数的一个子集,使用总变分正则化图像重建的分裂Bregman方法的实现。使用代码指令可以在文件“mrics顶在评论中发现。”。一个演示脚本也包括在内,显示正确的使用方法。-The code ‘mrics.m’ is an implementation of the Split Bregman method for reconstructing images a subset of their Fourier coefficients using total
Image-Sparse-Representation-Model
- 完备图像稀疏表示是一种最新的图像表示模型,采用过完备字典中原子的线性组合形式实现图像的稀疏表示.传统 的过完备图像稀疏表示模型采用重建误差的平方和作为保真项.该保真项没有充分考虑到人眼对图像的感知特性,无法度量图 像中边缘、轮廓、纹理等局部几何结构的变化.本文基于过完备稀疏表示理论思想,建立了新的稀疏性正则化的图像稀疏表示模 型.模型中的正则项约束图像表示系数的稀疏性,保真项采用更符合视觉感知的结构相似性度量.基于正交匹配追踪算法,提出 了基于结构相似度的正交匹配追踪算法.实验结
optimization
- 图像分割matlab 代码,不使用传统的tv 正则项,而是提出了一种新的正则化方法,可以运行-image segmentation with new regularization term
E6332
- 基于总变分(TV)的正则化多帧图像超分辨复原-Based on the total variation (TV) regularization multi-frame super-resolution image restoration
primal_dual
- 全变差求解病态线性方程组的算法说明及其Matlab上的实现代码,在反演问题中常常会用到,全变差正则化具有边界识别强的特点,在图像去噪和恢复方面很有价值!-Total Variation solving ill-conditioned linear equations Matlab algorithm descr iption and implementation code on the inverse problem will often be used, total variation reg
regularized-optical-flow-algorithm
- 正则化光流法的应用程序,用于图像处理,提取图像信号,并与傅里叶变换做对照-Regularization optical flow method application for image processing, to extract an image signal, and the Fourier transform as control