jpeg_quality_score

新一代的arnold图像之乱变换算法，文件中详细说明了代码的含义，达到一定迭代次数后图像可以复原，是学习图像加密同学的必备代码(The chaos of a new generation of arnold image transformation algorithm, the paper detailed the meaning of the code, after a certain number of iterations the image can be restored, is essential for students to learn the code image encryption)

说明：  四叉树程序，图像处理，要做这个的可以看看(Quadtree procedures, image processing, that can do this look)

说明：  很好地实现了激光雷达点云的ICP配准，附带数据(ICP registration of LIDAR point cloud is well realized)

指定图像部分，进行图片裁剪或者放单，类似于电商网站的图片放大镜(Specify the image part, cut or put out the picture, similar to the electricity supplier website picture magnifier)

小波学习资料 供初学者和小波爱好者参考用()

实现JPEG解码接量化的程序代码。便于初学者使用(Realizing the JPEG decoding by program code. For beginners to use)

基于红外图像的弱小目标检测与跟踪:计算图像的局域灰度概率矩阵,在图像上标出检测到的奇异点,标出最终检测到的小目标(Weak target detection and tracking based on infrared images: calculate the the local grayscale image probability matrix, detected singular points marked on the image, marked the final detected small goals)

说明：  实现直接序列扩频水印的嵌入与提取。基于待嵌入消息生成二进制水印序列,生成扩频码，用消息序列调制生成水印序列。依次处理灰度图像的每一个载体图像像素，根据相应位置 水印序列完成嵌入修改。(Realize the embedding and extraction of direct sequence spread spectrum watermark. The binary watermark sequence is generated based on the message to be embedded, the spread spectrum code is generated, and the watermark sequence is generated by message sequence modulation. Each carrier image pixel of gray image is processed in turn, and the embedding modification is completed according to the corresponding position watermark sequence.)

处理Gamma乘性噪声的PPB方法，考虑了非局部patch的相似性，可处理SAR图像去噪。(The PPB method for multicative noise removal, which based on the Probabilistic Patch similarity.)

说明：  SIFT特征点的提取和匹配，SIFT算法首先在尺度空间上进行关键点检测，确定关键点的位置和关键点所处的尺度，然后使用关键点邻域梯度的主方向作为该点的方向特征，最后由关键点邻域梯度信息生成关键点的特征向量(SIFT algorithm firstly detects the key points in the scale space, determines the location of the key points and the scale of the key points, then uses the main direction of the key point neighborhood gradient as the direction feature of the point, and finally generates the feature vector of the key points from the key point neighborhood gradient information)