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图像修复是图像复原研究中的一个重要内容, 它的目的是根据图像现有的信息来自动恢复丢失的信息，其可以用于旧照片中丢失信息的恢复、视频文字去除以及视频错误隐藏等。(Image restoration image restoration is an important part of the study, its purpose is to present the information according to the image to automatically recover lost information, which can be used for missing information in the old photo restoration, video, text and video error concealment removal .)

说明：  同态滤波利用去除乘性噪声(multiplicative noise)，可以同时增加对比度以及标准化亮度，借此达到图像增强的目的。(Homomorphic filtering can increase contrast and standardize brightness simultaneously by removing multiplicative noise, so as to achieve the purpose of image enhancement.)

本代码主要给出了激光粒度仪颗粒散射光强分布以及4种粒度反演算法，以及4种算法之间的比较。四种反演算法为：TSVD、Chaine、Tikhonov和l1正则化。(The code gives the Zetasizer particle scattering intensity distribution, and four kinds of particle inversion algorithm, as well as a comparison between the four algorithms. Four kinds of inversion algorithm is: TSVD, Chaine, Tikhonov and l1 regularization.)

图像清晰度评价，包含标准差，空间频阈，熵，bener(Image sharpness evaluation, including standard deviation, spatial frequency threshold, entropy, bener)

运动模糊图像的去模糊算法（盲反卷积），里面有.exe文件(Motion blurred image to fuzzy (blind deconvolution)

著名的LUCAS KANADE算法，用于图像匹配，跟踪，识别(LUCAS KANADE well-known algorithm for image matching, tracking, identification)

说明：  基于sift特征提取的图像配准的几个案例(Several cases of image registration based on SIFT feature extraction)

基于MATLAB实现图像融合，左右焦距融合(Image fusion based on MATLAB,Left and right focal length fusion)

用sift算子对两幅图像进行特征点的自动搜索。(Sift operator with the image feature point english)

对清晰图像加模糊并用时域和频域的方法分别实现对模糊参数的估计并将图像复原（其中用频域的方法实现对模糊角度的估计）(Clear picture of the additive fuzzy and time-domain and frequency domain methods, respectively, to achieve the estimated fuzzy parameters and image restoration (including the method used to achieve frequency domain point of view of fuzzy estimates))