资源列表
Channel-Mixer
- vb写的图像通道混合处理效果，r\g\b三通道的混合效果-vb write image processing channel mixing effect, r \ g \ b three-channel mixing
Chapter09DetectingEdgesWithROBERTS
- IDL编写的程序，利用Roberts技术进行边界检测-IDL programs written using Roberts boundary detection technology
Mydraw
- 一个简单的图像编辑软件，可实现基本图像绘制，可进行二次开发-A simple image editing software, image rendering basic, secondary development
JavaDoubleBuffer
- 一个基于Java语言编写的双缓冲动画，可以用于学习如何使用Java语言编写双缓冲动画。-A double-buffered animation Java-based language that can be used to learn how to use the Java language double-buffered animation.
JavaImagePlayer
- 一个基于Java语言编写的连续图片播放器，包含所有图片资源，便于学习理解如何使用Java语言播放图片形成视频播放的效果。-A Java-based language continuous picture player, includes all image resources, easy to learn to understand how to use the Java language broadcast pictures form video playback effect.
DNFESR_1_0
- Damping Noise-Folding and Enhanced Support Recovery in Compressed Sensing一文的MATLAB源码-This software accompanies the paper "Damping Noise Folding and Enhanced Support Identification in Compressed Sensing”. We warmly recommend to read the paper before
RGBtoYcbcr
- Convert RGB color values to YCbCr color space. used as a part of the color image pipeline in video and digital photography systems. Y′ is the luma component and CB and CR are the blue-difference and red-difference chroma components. Y′ (with prime)
interphase
- 通过本程序，运用加权最小二乘算法找到室内的某些特征点-Through this program, to find some feature points indoors
ShowBit
- c++实现的数字图像处理程序，包括平移，剪切，锐化，模糊，傅里叶变换，dct变换等-c++ implementation of digital image processing procedures, including pan, cut, sharpen, blur, Fourier transform, dct transform
zuixinban--dcmtk
- 最新的dcmtk原码，对于不能上外网的校园网同学来说相当的有帮助哦！-The latest dcmtk original code, not the external network for the campus network of students is quite helpful, oh!
RateOfEllipse
- C#拟合椭圆的程序，其中包含了所需要的矩阵运算类-C# ellipse fitting program, which contains the required matrix operations class
KSVD_Matlab_ToolBox
- K-SVD算法应用，图像去噪，提高图像质量-The K-SVD is a new algorithm for training dictionaries for linear representation of signals. Given a set of signals, the K-SVD tries to extract the best dictionary that can sparsely represent those signals.