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数字图像隐藏及提取研究分析论文、文献等。主要研究算法为LSB算法和DCT奇偶量化、DCT均值量化。(Digital Image Information Hiding and Extraction of analytical papers, literature. The main algorithm for the LSB algorithm and DCT parity quantization, DCT mean quantization.)

图像处理中压缩感知理论，对一维信号运用omp重构(Compressed sensing image processing theory, the use of one-dimensional signal omp reconstructed)

利用积分图的方式提取图像hog特征，用于人脸、行人检测。(Using the integral plot to extract the image hog feature, for human face, pedestrian detection.)

这些是我看过的一下关于三维成像的很不错的文章，有机载前视三维成像，还有用于大视场红外扫描的三维成像的文章，都很不错(These are some article about 3D imaging I have seen. Some is about SAR forword-looking，and some is about laser real-time 3D imaging。)

该程序主要实现图像的无损压缩，具体算法包括： （1）整数小波变换＋SPIHT无损压缩 其中整数小波可以采用JPEG2000提供的5－3小波，也可以采用S＋P变换，本程序均已给出。 （2）DPCM＋算术编码 DPCM采用的是JPEG中采用的方法； （3）JPEG－LS标准 JPEG－LS的无损压缩性能非常好，超过JPEG2000。(The program mainly realize lossless image compression, the specific algorithm include: (1) integer wavelet transform SPIHT Integer Wavelet lossless compression which can be used to provide the 5-3 wavelet JPEG2000, can also adopt the S P transform, the procedures are given. (2) DPCM arithmetic coding DPCM is used in JPEG methodology (3) JPEG-LS standard JPEG-LS lossless compression of very good performance, more than JPEG2000.)

用块匹配法进行运动估计的matlab实现方法，返回运动矩阵(block matching method used for motion estimation method of Matlab, the return movement Matrix)

说明：  Halcon与C#联合编程（Halcon12）(Halcon and C# joint programming (Halcon 12))

实现多种方法的全色和多光谱图像融合：（1）IHS变换（2）高通滤波（3）GIHS方法（4）小波变换（5）PCA （6）Brovey变换(A variety of methods of panchromatic and multispectral image fusion: (1) IHS transform (2) high-pass filter (3) GIHS method (4) wavelet transform (5) PCA (6) Brovey transform)

本件包含四种二维高通滤波器，他们分别是基于汉宁窗，布莱克曼，凯泽窗和巴特利特窗设计的二维高通滤波器。(This piece contains four two-dimensional high-pass filter, they are based on Hanning, Blackman, Kaiser window design windows and Bartlett two-dimensional high-pass filter.)

处理图像，利用提出高频的方法，把图像中的裂纹提取出来。能比较好的把背景图像和裂纹分割开来。(Processing images, the use of the proposed high-frequency method of the cracks in the image extracted. Good background image and crack separated.)