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基于梯度相似度的图像质量评价方法，发表在2012年TIP国际期刊上(A. Liu, W. Lin, M. Narwaria, “Image Quality Assessment Based on Gradient Similarity,” IEEE Transactions on Image Processing, vol. 21(4), pp. 1500-1512, 2012.)

本算法有图像融合算法，聚类分析算法，去噪算法，运动模糊算法(This algorithm with image fusion algorithm, clustering analysis algorithm, the denoising algorithm, fuzzy algorithm)

关于MC三维重建算法的二义性消除的文章，很好的消除了MC算法中的二义性(it s the article about Three-dimensional reconstruction algorithm to eliminate ambiguity in MC)

说明：  基于hessian矩阵的frangi血管增强算法(An algorithm of vascular enhancement based on Hessian matrix)

实现基于迭代反投影算法的超分辨率重建，对于没有噪声的情况有较好的效果。(Iterative Back Projection super-resolution.)

图像融合中的平均梯度、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(Average gradient, correlation coefficient, information entropy, cross-entropy, joint entropy, mean square error, mutual information, signal-to-noise ratio, peak signal-to-noise ratio, root mean square error, spatial frequency, standard deviation, mean, distortion degree, deviation index, etc. in image fusion)

python语言，使用卷积神经网络的特征做图像检索(image retrieval using CNN)

基于openCV的gabor函数,一位牛人编写的。希望对大家有用(gabor function based on openCV)

说明：  视频追踪ECO算法源代码以及ECO论文PDF(Video tracking eco algorithm and eco paper pdf)

实现图像的超分辨率算法，采用最大后验（MAP）算法，实现效果不错。(Image super-resolution algorithm using maximum a posteriori (MAP) algorithm, to achieve good results.)