NonnegJune2009

LBP（局部二值模式）特征提取，用于人脸识别，(LBP feature extraction for face recognition. . .)

使用snake方法进行图像处理的原代码，简单准确(use snake image processing methods for the original code simpler and more accurate)

自己编的nsct和pcnn结合的融合程序,简单易懂，pcnn采用的不是改进型的，传上来供大家参考，运算复杂，出结果很慢。(A fusion algorithm based on NSCT-PCNN.It is easy to understand,but the quantity of arithmetic is large, and it costs a long time.)

基于形态学的权重自适应图像去噪；通过串并联的滤波降噪对比图，说明并联降噪的优越性(Heavy adaptive image denoising based on morphology right noise filtering by series-parallel comparison chart, show the advantages of parallel noise reduction)

包含二维广义S变换程序和测试程序，用于对图像进行时频分析。matlab版本R2011b,操作系统为32位win7。在2G内存下最大只能对84*84的图像进行处理，更大的图像会出现out of memory的问题。目前网上还没有这个程序，包括本站，pudn，ilovematlab都没有。把程序上传到这三个地方，望大家一起来改进它。(Contains a two-dimensional generalized S transform procedure and testing procedure.It is used for the time-frequency analysis of images.Matlab version :R2011b, operating system: 32 win7. Tests under 2G memory can only process 84* 84 images.A larger image will incur "out of memory" problems. This program is not found online before, including this site, CSDN, ilovematlab. Upload the program to the above three websites, hoping it improved by the help of everyone.)

说明：  用matlab写的分水岭算法用于图像分割写的不是很好有需要的看看吧(using Matlab was a watershed for image segmentation algorithm was not very good in need and let's see it)

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 )

有效地MR图像重建算法，主要用于在MR图像的成像过程中对图像进行压缩(Efficient MR Image Reconstruction for Compressed MR Imaging)

说明：  图像去噪，梯度倒数加权滤波代码噪matlab中实现(Image denoising, countdown weighted gradient noise filtering matlab code to achieve)

matlab 噪声处理 白平衡处理 很强大的一段处理程序(matlab noise processing section of the white balance processing is a powerful process)