资源列表
denoise_bound
- TV模糊，利用TV模型进行图像处理，TV模型是重要的图像处理模型，可以进行去噪，能够在去除噪声的同时，还保持边界。（3）-TV model is an important image processing model, can be denoised, can remove the noise, while maintaining the border
denoise_bound_init
- TV模糊，利用TV模型进行图像处理，TV模型是重要的图像处理模型，可以进行去噪，能够在去除噪声的同时，还保持边界。（4）-TV model is an important image processing model, can be denoised, can remove the noise, while maintaining the border
tv_fista
- TV模糊，利用TV模型进行图像处理，TV模型是重要的图像处理模型，可以进行去噪，能够在去除噪声的同时，还保持边界。（5）-TV model is an important image processing model, can be denoised, can remove the noise, while maintaining the border
IT3
- 处理图形的工具，可以对直方图、点图进行数据整理-Graphics Processing
NIPS14_final
- 词典是用来描述一张图片的目标区域的信息，和稀疏粒子结合，就能稀疏表达来描述目标。-A dictionary is used to describe a picture information of the target area, is combined with sparse particles, can thin expression to describe the target.
SVGDL
- 词典是用来描述一张图片的目标区域的信息，和稀疏粒子结合，就能稀疏表达来描述目标。-A dictionary is used to describe a picture information of the target area, is combined with sparse particles, can thin expression to describe the target.
Subpixel-Matlab-v2.11
- 亚像素边缘提取算法以及实验代码,算法详见Accurate Subpixel Edge Location Based on Partial Area Effect-Sub-pixel edge detection algorithm and test code, algorithms see Accurate Subpixel Edge Location Based on Partial Area Effect
Lens_calculator
- 镜头计算器。图像处理领域中，如何根据拍摄幅面和分辨率选择合适相机，内附相应公式-Lens Calculator. Field of image processing, how to choose the right format and resolution of the camera according to the shooting, enclosing the corresponding formula
chouyangdingli
- 程序专注实现了抽样定理的仿真，有助于理解空域和频域在信息光学中的概念-Program focused on realize the simulation of the sampling theorem
Tarel
- Tarel的去雾论文Fast visibility restoration a single color or gray level image中的源码，去雾效果还可以。-Tarel s fog paper which is Fast visibility restoration a single color or gray level image .The source of code, has good dehaze effect.
pcnn
- 利用PCNN捕获的相似性集群特征进行分割-Segmentation is performed using the similarity cluster characteristics captured by PCNN
grayMat
- 进行适当的灰度变换来达到灰度级压缩的目的.-By analyzing the histogram of the texture image, we do the appropriate gray-scale transformation to achieve the purpose of gray-level compression without affecting the quality of the texture as much as possible