suif1.info-3.tar

采用surf算法对两幅较低重叠度的图像进行拼接(Image mosaic using surf algorithm)

Harris角点检测算法,已经测试通过,程序中有清晰的注解，对于算法的理解有较大的帮助．(Harris corner detection algorithm has been tested, there is a clear process of annotation, the algorithm has a greater understanding help.)

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)

梯度算子检测边缘,LOG算子检测边缘,Canny算子检测边缘.(Gradient edge detection operator, LOG operator edge detection, Canny edge detection operator.)

可以Raw格式图片(you can open raw file with the .m code.)

基于自适应的PCNN(神经耦合网络)融合,对图像的融合起到了很好的作用,是像素级的融合.尤其对于可见光和红外图像有很好的融合效果.(It is based upon the PCNN fusion which has a great effect on image fusion,especially when dealing with infrared picture and visible light picture.)

一些常用的高光谱解混方法的matlab代码(Hyperspectral unmixing method matlab code)

实现阈值图像分割，用全局阈值，OTSU和迭代法求阈值(Achieve the threshold image segmentation, the threshold required by the global threshold, OTSU and iterative method)

图像处理源程序，实现二值化变换，经一幅图像灰度化后，变成二值化图像，包括大津法、最大类间方差法、一般阈值法、及文本识别最有用的Niblack法(Image processing program and realized binarization transformation, after by a gray-scale image into binary image, including the Otsu method, Otsu method, the general threshold, and text to identify the most useful Niblack method)

基于DCT域的数字水印算法主要包括水印调制、水印嵌入和水印提取，首先在嵌入载体图像之前用Logistic混沌序列对水印进行调制，得到一个只有+1和-1随机序列的水印，同时将载体图像进行全局DCT变换，然后将水印图像嵌入人类视觉系统最重要的部分，即DCT最大的系数，DC（Direct Current）部分也包含在这最大的系数中，这部分的系数满足人类视觉特性，会使水印嵌入的性能更好。嵌入算法是将水印与这些系数进行相乘获得新的系数，再用新的系数来替换原来的系数，即获得嵌入水印后的离散余弦域的图像，然后对这个变换后的图像进行IDCT，就会得到需要的水印图像。(While the carrier image digital watermarking algorithm based on DCT domain include watermark modulation, watermark embedding and watermark extraction, the first of the watermark embedded in a carrier modulated image before using Logistic chaotic sequence, only+1 and-1 to get a random sequence of watermark, Global DCT transform, then the watermark image is embedded most important part of the human visual system, i.e. the largest DCT coefficients, DC (Direct Current) in this section also contains the largest coefficient, the coefficient of this part of the human visual characteristics to meet, make watermarks Embed better performance. The watermark embedding algorithm is with these coefficients are multiplied to obtain new coefficients, and then a new factor to replace the original coefficients, namely discrete cosine domain to obtain an image watermarked and then transformed the image of this conduct IDCT, on watermark image will be needed.)