Matlab

说明：  一种基于tv模型的图像修复方法，经检测代码运行正确，附带实验图片，可以对破损图像有一定的修复效果(Tv model-based image restoration method, the detection code to run correctly, with the experimental picture, can repair the damaged image)

针对分水岭算法存在的过分割问题以及VCH-F1切片图像的特点，提出一种能够有效消除局部极小值和噪声干扰的自动分割方法。首先比较彩色分量梯度图，选择分量图像的梯度信息，达到有效提取图像边缘信息的目的；然后提出基于多阈值分割的方法消除无效梯度信息；最后介绍了算法的步骤及结果。实验结果证明，通过该方法处理的梯度图像再进行分水岭算法处理，即使不进行区域合并也能达到很好的效果。(Watershed algorithm for over-segmentation problem of the existence of VCH-F1 as well as the characteristics of the image slice, a can effectively eliminate the local minimum value and noise automatic segmentation method. Comparing the first color component gradient map, select the quantity of image gradient information, achieve an effective extraction of image edge information purposes then made based on multi-threshold segmentation method to eliminate invalid gradient information Finally introduce the steps of the algorithm and results. Experimental results show that the adoption of the method of treatment of gradient watershed algorithm for image re-treatment, even if there is no regional merger will also achieve good results.)

Jsteg隐写算法[23][24]由D. Upham提出，该算法将秘密信息嵌入在量化后的DCT系数的LSB上，但值为-1、0、+1的DCT系数例外。提取秘密信息时，也只是将隐藏信息的图像中不等于-1、0、+1的量化DCT系数的LSB取出即可(steganography of jsteg)

说明：  在一图像中加入噪声，是超分辨率中的一个重要步骤哦(noise)

一个齿轮时变啮合刚度求解的仿真程序，在刚度求解过程中，考虑了时变啮合刚度(Time-varying gear mesh stiffness of a simulation program to solve)

有关图像融合的一个比较全的代码集合，有gui界面，可选择不同的处理图像方法融合图像(the image of a more integrated whole code set, a gui interface choice of different methods of image processing Image Fusion)

说明：  采用考虑湍流内外尺度影响的退化模型来恢复大气湍流降质图像，运用包含了湍流内外尺度影响的波结构函数、折射率谱以及薄透镜成像的退化函数导出了新的退化模型。(A new degradation model includling the influence of outer-and inner-scale of turbulence is presented to restore atmospheric turbulence degradation images. )

说明：  利用匹配滤波器实现图形识别，包括程序和说明文档(Graphic Recognition Using Matched Filter)

稀疏重建压缩感知算法，可对图像进行稀疏重建。(Sparse reconstruction compressed sensing algorithm can reconstruct image sparsely.)

对图像进行旋转和缩放的源代码,支持原图像的抽样处理及任意角度的旋转(The image rotation and scaling in any direction)