MatlabRun

说明：  这是一个基于超像素算法的分割小软件，可以用于图像的分割，但是没有语义。使用者如果用于商用，要联系软件中的作者(This is a small software based on super-pixel algorithm, which can be used for image segmentation, but without semantics. Users for commercial use should contact the authors in the software.)

数字图像处理中的可逆水印算法，基于差值扩展而得，其容量与其图像像素有关。(The reversible watermarking algorithm in digital image processing is based on the spread of the difference, and its capacity is related to the pixel of the image.)

说明：  用于对图像进行显著性分析，使用GBVS算法，可阅读readme文件进行安装。安装好后直接调用即可。(For image significance analysis, GBVS algorithm, readme file for installation.Directly after the installation can be called.)

非压缩视频图像帧内水印的密写与复密写研究，源码和论文材料(Video Watermarking Steganography)

稀疏表示实现图像融合。改变图像路径能直接应用(Sparse representation for image fusion)

为方便土地利用总体规划编制单位制作土地利用总体规划图件，针对市、县、乡三级土地利用总体规划制图，制作市、县、乡土地利用总体规划必选图件的图式符号库。该图式符号库适用于ArcGIS软件平台下的图件制作(In order to facilitate the land use master planning units to make land use master plan maps, for the city, county, Township three-level land use master plan mapping, the city, county, Township land use master plan must be selected map schema symbol library. The graphic symbol library is suitable for map making under the ArcGIS software platform.)

用matlab中各种不同方法对模糊图像进行复原，有维纳滤波，盲返卷积，Lucy-richardson方法，规则化复原图像等(Various different methods using matlab fuzzy image restoration, with Wiener filtering, blind convolution back, Lucy-richardson methods, rules-based recovery images, etc.)

基于CVI的二维码图像识别 QR Code的认识和识别(Awareness and recognition of the two-dimensional code image QR Code)

说明：  红外图像拼接，将两幅有重叠的图拼成一幅，以实现相关拼接(Infrared image mosaic, the two overlapping Figure 1 spell in order to achieve the relevant splicing)

数字图像处理 小波处理 ，去噪音，比基于傅里叶变换的去噪方法好。 含噪信号经过预处理，然后利用小波变换把信号分解到各尺度中，在每一尺度下把属于噪声的小波系数去掉，保留并增强属于信号的小波系数，最后再经过小波逆变换恢复检测信号。(The noisy signal is pre-processed, then the signal is decomposed into different scales by wavelet transform. The wavelet coefficients belonging to noise are removed at each scale, and the wavelet coefficients belonging to the signal are retained and enhanced. Finally, the detected signal is restored by inverse wavelet transform. It is better than the denoising method based on Fourier transform.)