资源列表
NoiseLevelEstimate
- 图像去噪中，对于加噪方法的自动估，方便后续研究去噪算法。-automatically estimate of deviation in the denoising alg.
CSLineClipping
- CS线段裁剪算法，实现直线的编码裁剪算法，在屏幕上用一个封闭矩形裁剪任意一条直线。-CS line clipping algorithm to achieve linear coding cutting algorithm on the screen with a closed rectangular clipping any straight line.
Depth-from-Defocus
- 本文是计算机视觉的重要分支——计算成像的相关文章，文章对于利用像面离焦获取图像深度信息(DFD/DFF)进行了详细的论述。-This article is a comprehensive review of the computational imaging, which is an important branch of the computer vision. This article includes thorough insight on the Depth Defocus/Focus
Depth-from-Defocus-vs-Stereo
- 本文是计算机视觉的重要分支——计算成像的相关综述性文章，文章对于计算成像中的DFD/DFF技术与立体视觉技术进行了详细的对比。-This article is a comprehensive review of the computational imaging, which is an important branch of the computer vision. This article includes thorough insight on the comparison between
3D-compressive-sensing(Science)
- 本文是关于压缩感知的综述性文章，发表于著名的《科学》杂志，文章对于压缩感知的发展给出了提纲挈领的论述。-This review article is about the compressive sensing, which is proposed on the Science periodical. It gives a brief review on the development of the compressive sensing.
coded-focal-stack-photography
- 文是计算机视觉的重要分支——计算成像的相关文章，文章对于计算成像中的编码式focal stack photography技术给出了详尽的技术解决方案。-This article is about the coded focal stack photography, which is an novel technology in computational imaging. The apparatus and methods are introduced in detail.
huffmam
- 霍夫曼编码实现文件 构建霍夫曼树 编码与解码 需要511个节点才能构成霍夫曼树-Huffman Coding file to build the Huffman tree encoding and decoding require 511 nodes in order to constitute a Huffman tree
VICTOR2d
- Vector2D 向量运算的基本函数 向量操作-The basic function vector Vector2D vector arithmetic operations
c3s1
- 包含了灰度线性变换，灰度对数变换，伽马变换等函数实现-Contains a gray linear transformation, gray logarithmic transformation, gamma transform function to achieve
PCA-face-recognition
- 提取人脸图像pca降维特征以实现人脸识别，采用MATLAB语言实现实现-Extracting features of face image PCA to realize face recognition, using MATLAB language
siftDemoV4
- 提取图像sift特征，实现图像局部特征识别，用matlab语言写的一个简易demo-Extracting the features of sift image, realizing the image local feature recognition, using MATLAB language to write a simple demo
apple
- rgb转化为lab空间，k-means聚类，基本的图像处理如腐蚀膨胀等，分水岭分割方法分割标记-rgb converted to lab space, k-means clustering, basic image processing such as corrosion expansion, etc., watershed segmentation segmentation mark