不同阈值降噪后的效果

说明：  python实现双目立体匹配SGBM算法(SGBM algorithm for binocular stereo matching based on Python)

图像融合中常用的评价指标（非常全面）如：平均梯度、相关系数、信息熵、交叉熵、联合熵、均方误差、互信息、信噪比、峰值信噪比、均方根误差、空间频率、标准差、均值、扭曲程度、偏差指数等等。(Image fusion evaluation (very comprehensive): average gradient, correlation coefficient, entropy, cross entropy, joint entropy, mean square error and mutual information, signal to noise ratio, peak signal to noise ratio, root mean square error, spacefrequency, standard deviation, mean, distorting the degree of deviation index.)

C语言下实现SIFT算法 用于图像特征匹配(C-achieve SIFT algorithm for image feature matching)

使用小波框架来实现图像融合算法。文件中有测试图片。(Framework to achieve the use of wavelet image fusion algorithm. Document the test picture.)

精心收集的几个去噪算法，包括基于视觉的非线性去噪、BLS_GSM算法、NL-Bayes图像去噪、KSVD去噪等，内容为核心代码，需要配置完善。 (Denoising algorithm of several carefully collected, including visual based nonlinear denoising, BLS_GSM algorithm, NL-Bayes image denoising, KSVD denoising, the content as the core code, the need to improve the allocation of. )

算法实现消除小面积的区域,保留面积大的区域.对去除小斑点很稳健.(Algorithm to achieve the elimination of small areas of the region to retain the large area of the region. For the removal of small spots very sound.)

实现图像的几何变换，包括图像的平移、镜像变换、缩放、转置以及旋转。(Achieve geometric transformation of image, including the image translation, image transformation, scaling, transpose and rotation.)

Hu不变矩的的一至七个矩的代码以及论文。matalb版本，可直接用。(Matlab Code of Hu Moment Invariant)

SIFT匹配算法，能够提取出具有尺度不变性的特征点，且能够对两幅图像进行鲁棒的匹配。(SIFT matching algorithm, able to extract with the scale invariance of the feature points, and the two images to be able to match robust.)

利用2张不同角度的图像，重建出三维图像 two view 3D reconstruction(Two different angles of the image, and reconstruct the three-dimensional image two view 3D reconstruction)