二維圖像處理對圖像以gabor方式提取特徵點的程序-Two-dimensional image processing of images to extract feature points the way gabor procedures

RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。目前最有效的算法是ALM（Augmented Lagrange Multiplier）。ALM分为Exact ALM和Inexact ALM。 该代码是Inexact ALM，收敛速度比Exact ALM快！-RPCA (Robust Principal Component Analysis) is used for matrix filling, image de

论文Matlab实现：S. Pyatykh, J. Hesser, and L. Zheng, "Image Noise Level Estimation by Principal Component Analysis", IEEE Transactions on Image Processing, Volume: 22, Issue: 2, Pages: 687 - 699, February 2013.