资源列表
ImageProcessing
- 数字图像处理 输入一张图片对图片进行处理-Digital image processing for image input an image processing
main-final-7
- 2014 香港图像科学编程国际会议SIAM的摘要-SIAM Conference on IMAGING SCIENCE Program and Abstracts
single_image_SR
- 基于单张图像的超分辨率重构文章（有别于图像序列的超分辨重构）-single image based super resolution reconstruction
2
- 超分辨率复原技术的发展_张新明.caj -super resolution recontruction development
ReadRawImage
- 这是一段用于读取Dicom图像的程序。虽然短，但很有用。程序可以去掉Dicom图像文件的描述性头文件，把图像灰度信息读入一个矩阵供后续处理。-Read a RAW DATA format image. The raw image data is written as a series of signed short integers in row first order.
a-program-about-HHT
- 一个关于EMD分解的程序，可以显示时频谱、IMF分解图和边际谱。-EMD decomposition of a program about when you can display the spectrum, IMF exploded and marginal spectrum.
qubo-xiaobo--yingyuzhi
- 本文是对图像进行曲线波和小波去噪，其阈值的选择都是硬阈值-This is the image curve wave and wavelet denoising, the threshold selection is hard threshold
Matrix-closed-mirror-extension.txt
- 镜像延拓处理经验模态分解(Empirical Mode Decomposition,EMD)时的端点效应。-Mirror extension handle end effects of empirical mode decomposition (Empirical Mode Decomposition, EMD)
cuevelet--yinyuzhi
- 曲线波变换用于图像去噪可以很好的解决物体沿曲线边缘的特性，本算法采用硬阈值对图像进行去噪，里面包含侧视图像和峰值信噪比-Curvelet transform for image denoising can solve problems well along the curve edge features, the algorithm adopts hard thresholding for image denoising, which contains the side view image a
curvelet--ruanyuzhi
- 曲线波变换用于图像去噪可以很好的解决物体沿曲线边缘的特性，本算法采用软阈值对图像进行去噪，里面包含侧视图像和峰值信噪比-Curvelet transform for image denoising can solve problems well along the curve edge features, the algorithm used for image denoising threshold, which contains the side view image and peak si
curvelet--banruanyuzhi
- 曲线波变换用于图像去噪可以很好的解决物体沿曲线边缘的特性，本算法采用半软阈值对图像进行去噪，里面包含侧视图像和峰值信噪比-Curvelet transform for image denoising can solve problems well along the curve edge features, the algorithm used for image denoising semi soft threshold, which comprises a side view image a
curvelet--zhezhongyuzhi
- 曲线波变换用于图像去噪可以很好的解决物体沿曲线边缘的特性，本算法采用硬软折中阈值对图像进行去噪，里面包含侧视图像和峰值信噪比-Curvelet transform for image denoising can solve problems well along the curve edge features, the algorithm uses the hard and soft compromise threshold for image denoising, which contains