manual_v1.2.pdf

初学者的游程编码，可以进行小图像的压缩，可以以此为基础进行编码和参考(RLE beginner, you can make small image compression, can be encoded as a basis and reference)

数字图像处理实验——直方图的均衡化，打开图像并实现其均衡化(Digital image processing experiments- histogram equalization, open the image and realize its equalization)

图像配准的源程序，matlab编写的，试试看(image registration source, prepared by the Matlab Try)

说明：  为了达到较好的隐藏效果，本文采用游程编码的方法在二值图像中隐藏信息。秘密信息嵌入时修改二值图像的游程长度，如果秘密信息为是0，则修改该游程长度为偶数；如果秘密信息的取值与游程长度的奇偶性相匹配，则不改变游程长度。提取时根据游程长度奇偶性提取出秘密信息。在信息隐藏时，改变游程的奇偶性时通过对下一个游程的第一个像素值进行修改，因此当下一个游程长度为1时通过改变当前有成的值实现。(In order to achieve better hiding effect, we use run length encoding method to hide information in two value images. When the secret information is embedded, the length of the travel length of the two value image is modified. If the secret information is 0, the length of the travel length is even even. If the value of the secret information is matched with the parity of the length of the run, the length of the journey is not changed. The secret information is extracted according to the parity of run length. In information hiding, changing the parity of the journey is modified by the first pixel value of the next run, so the current length is 1 by changing the current value.)

模糊集图像增强：设计隶属度函数将图像从空间域变换到模糊集域；设计模糊增强算子，在模糊集域对图像进行处理；根据隶属度函数重新将图像从模糊集域变换到空间域。(Fuzzy image enhancement: Designing the membership function of the image from the spatial domain to the fuzzy set domain design fuzzy enhancement operator in fuzzy set domain for image processing membership function according to re-image from the fuzzy set domain to the spatial domain .)

使用二维双密度小波2-D Double-Density DWT Thresholding Method，决定图像滤波门限值，实现图像去噪处理。(use of two-dimensional density Wavelet 2-D Double-Density DWT Thresho lding Method, the decision threshold image filtering, image denoising.)

对图像进行反转，这是图像传统的增强方法，是对像素点的增强。(Invert the image, which is the traditional method for enhancing an image, the pixel point is increased.)

本程序将SIFT与边缘结合起来用来做图像配准 先用SIFT检测关键点 用CANNY算子进行边缘检测 进而优化选取最佳匹配点 进行向量匹配 图像配准。 (The program will combine the SIFT and the edge of image registration is used to make the first detection of the key points with SIFT operator with CANNY edge detection and then select the best match point optimized vector matching image registration.)

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)

分形图像压缩 效果好 但是运行时间长 需要改进(Fractal image compression effective running a long time but need to improve)