资源列表
image-coding
- 用matlab实现算数编码、哈弗曼编码以及LZW编码（能够区分大小写和数字进行编码）含测试文本和结果-Using matlab realize arithmetic coding, Huffman coding and LZW coding (case-sensitive and numbers can be encoded) containing test text and results
ppbNakagami
- 处理Gamma乘性噪声的PPB方法，考虑了非局部patch的相似性，可处理SAR图像去噪。-The PPB method for multicative noise removal, which based on the Probabilistic Patch similarity.
SARBM3D_win32
- Matlab和C的混编，用于SAR图像去相干斑，将处理加性噪声的BM3D推广到SAR。-Functions for Matlab for the denoising of a SAR image corrupted by multiplicative speckle noise with the technique described in "A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinka
mVmodel
- matlab与C的混编，处理乘性噪声，建立M次开根号模型，需要调整参数。-written with matlab and C by S. Yun and H. Woo, "A new multiplicative denoising variational model based on m-th root transformation".
TwoLevelmodel
- matlab和C混编，处理乘性噪声，求解变差模型。-Written by M. Kang, S. Yun, and H. Woo, the corresponding paper is "Two-level convex relaxed variational model for multiplicative denoising"
butter
- 双线性变换巴特沃斯发设计数字带通滤波器。matlab环境下-Bilinear transform hair design digital Butterworth bandpass filter
AMA_denoising
- matlab 与C混编，通过交替最小化方法求解乘性噪声模型，利用了shifting技术。-Written by H. Woo and S. Yun, the corresponding paper is "Alternating minimization algorithm for speckle reduction with a shifting technique"
FourOpenGL--yes
- 用C++集体编写的直线和圆的生成算法，有bresenham和DDA等，可以选择边画图模式-line and circle and opengl
patch_sailency
- 主要应用于显著性检测，采用局部块灰度值与全局比较的方法-Mainly used in saliency detection, the use of local and global block gray value comparison method
supervoxel
- gbh, gb, swa, ncut 等过分割算法的代码。C/matlab-LIBSVX: A Supervoxel Library and Benchmark for Early Video Processing
ImageProcesser
- 一些图像增强和去噪算法的实现，处理的图片不能超过341*341像素，否则显示有问题。-Some image enhancement and denoising algorithm, the pictures can not be more than 341* 341 pixels, or there will be some display problems。
Digital-Image-Processing-
- 图像处理演示程序，可以进行多种方法的灰度图像的分割，锐化，平滑，以及彩色图像的分割，锐化。-Image processing demo program, a variety of methods can be gray image segmentation, sharpening, smoothing, and a color image segmentation, sharpening.