资源列表
VCPPdigitalprocess
- 基于visual c++的数字图像处理技术，包括几何变换、边缘检测、图像分割-Based on visual c++ digital image processing technology, including geometric transformation, edge detection, image segmentation
image-Features-Points-Match
- 图像特征点匹配-image Features Points Match
Tesina_Realta_Aumentata
- computer vision and image processing
text_deblurring_code
- Matlab code for "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior"； demo_text_deblurring 是主函数(refer to Deblurring Text Images via L0-Regularized Intensity and Gradient Prior)
CVPR14_text_code_blind
- cvpr2014年关于去抖动代码，具有很大的价钱，配合原来算法步骤来看，会有很大的效果-Cvpr2014 years about to shake the code, of great price, with the original algorithm steps, there will be a very big effect
Sparse Lab 200-Core
- 基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观 的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均 匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后 采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和 噪声）。-In this paper, we propose a novel method for solv- ing single-image super-resoluti
Gist-Retrieval
- gist特征用于商品图像检索，其为全局特征，检索效果非常好。-GIST feature is used to realize image retrival it performs very well.
ScSR
- Jianchao Yang 的基于稀疏表示的单幅图像重建的原始代码，先将高低训练图像分块，再将块训练成高低字典，将测试图像映射到低字典上，得到系数，再乘以高子典就得到最后的图像。对学习超分辨率同学的参考作用很大。-This is the original matlab code for super resolution by Jianchao Yang 。The method is sparse represent based on the overcomplete dictionary。
ScSR
- 杨建超的将稀疏表达用于图像超分辨率重建的文章赋代码(Example matlab code for the algorithm proposed in "Image super-resolution via sparse representation" TIP 2010.)
Handbook-of-Image-and-Video-Processing-(Al-Bovik)
- image and video processing
Handbook_Image_Video_Processing
- 视频图象处理手册，不错的英文书，适合图象处理，模式识别专业学生．-Video image processing handbook, good English books, suitable for image processing, pattern recognition of professional students.
Handbook.of.Image.and.Video.Processing
- 英文原版。本书介绍了图像和视频处理方面的基本原理、主要技术和典型应用，相关的内容包括图像与视频的增强和恢复，分类和分割，图像边缘检测，图像处理算法，图像压缩、存储、重取和通信，以及图像处理的应用。-This Handbook represents contributions from most of the world’s leading educators and active research experts working in the area of Digital Image and