blindwatermark

canny边缘检测的步骤： 1，生成高斯核，与图像做卷积 2，计算梯度图像 3，非极大值抑制 4，双阈值法和连接边缘(Canny edge detection steps: 1, Generate Gaussian kernel, convolution with the image 2, calculate the gradient image 3, non-maximal inhibition 4, double threshold method and connect the edge)

此MATLASB源代码是LSB的图像数字水印的嵌入与检测，希望对需要者有用!(This source code is MATLASB image watermarking LSB embedding and detection, in the hope that those who need it useful!)

对灰度和真彩色位图实现了多种边缘提取算法(Of gray-scale and true color bitmaps to achieve a variety of edge detection algorithm)

IMM交互式对机动目标跟踪，程序写的很完美，包含各种常见的滤波算法(IMM UKF KF)

增强型Lee滤波，附有详细注释，简单易用，参数可调(enhanced LEE filter)

ICP模型配准有二维三维两种方式，简单好用(ICP RIGID EASY 2 DIMENSION 3 DIMENSION)

说明：  FPGA数字图像处理实现均值滤波，并且仿真将生成图片写出TXT格式以便使用MATLAB查看(Mean filter is realized by digital image processing in FPGA, and the generated image is written in TXT format for viewing with MATLAB.)

盲水印提取时不需要参考原始载体图像,在信息隐藏、版权保护等方面具有更广泛的应用前景。提出的盲水印算法在分块离散余弦变换(DCT)和离散小波变换(DWT)的基础上,利用关系双方DCT系数和DWT系数在受到攻击时具有相同变化趋势的特点,采用关系嵌入和量化嵌入的自适应选择嵌入策略,较大幅度地提高了盲水印提取的鲁棒性。同时在量化嵌入中采用抖动调制,实现了水印透明性和鲁棒性调节的便捷性。大量仿真实验结果表明该算法对噪声干扰、低通滤波、JPEG压缩、对比度增强等攻击有很好的鲁棒性和透明性。关键词 数字水印盲水印关系嵌入量化嵌入离散余弦变换离散小波变换 按这篇文章的算法，自己编的matlab,没有攻击时水印提取率为1，加水印后图像PSNR有45+，。有攻击后提取率也有0.9+。(Blind watermark extraction can be fulfilled without referring to the original host image. Therefore it hasmuch prospective applications in the fields of information hiding and copyright protection. Based on blocking Discrete Cosine Transform (DCT) and blocking DiscreteWaveletTransform (DWT), the proposed blind watermarking algorithm uses an embedding strategy of adaptively selecting either relationship embedding or quantization embedding. The relationship em- bedding comes from the observation thatboth themagnitudes of coefficients concerned in the relationship usually have thesame change trend when the image is attacked. This strategy remarkably improves the robustness ofwatermark extraction.In addition, dithermodulation is used in quantization embedding, bywhich the tradeoff between transparency and robus-tness ofwatermarking can be easily adjusted. Simulation results show that the algorithm is fairly robust against the attacks such as noise, filtering, compression, and contrast )

final year project related thing.

说明：   针对雾天下拍摄图像的退化现象，远景部分是一块灰度分布比较集中且接近天空亮度的区域，而近景部分可以分辨，其灰度分布比较分散。提出了一种基于遗传算法阈值分割的雾天图像增强方法；该方法首先用遗传算法求出近远景的分割阈值将图像分割[1]出来，然后对两个部分分别进行清晰化处理。(make the picture clear)