Image-point

用广义高斯模型（GGM）拟合分布代码，包括生成直方图，参数估计等(for GGM simulation)

华中科技大学图像所张桂林老师的数字图像处理课件(Huazhong University of Science and Technology teacher Zhang Guilin images of digital image processing software)

指纹增强，使用的是ＳＴＦＴ短时傅里叶方法，可用。(Fingerprint enhancement, using the STFT short time Fourier method, is available.)

针对同一场景可见光与红外图像的融合问题,提出了一种新的多尺度对比度塔图像融合方法. 该方法 利用对比度金字塔数据结构得到图像的多分辨序列,采用基于视觉特性的融合算子在图像的相应各级上融 合源图像的细节,再通过金字塔逆变换重构出最终融合图像. 这种图像处理方法具自适应性,不随各自输入 图像的灰度特性而改变,同时增强了融合图像的对比度,产生了较好的视觉处理效果.(for the same scene of visible and infrared images of integration, proposed a new multi-scale tower contrast images. The use of contrast pyramid data structure Image multiresolution sequence, based on visual characteristics of the integration operator of the image corresponding levels of integration details of the source image, through the inverse pyramid transform eventually fused images. This image processing method has adaptability without their input image with the gray characteristics change, while enhancing the integration of the contrast of the image. have a better visual effect.)

AGV路径图像识别：通过CCD摄像机系统路径标线的图像，后续图像处理和识别算法性能(Image Recognition path: the path through the CCD camera system marking the images, follow-up image processing and recognition algorithm performance)

文献 "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" 的参考代码 用Lp正则化方法做盲复原的代码 demo_text_deblurring 是主函数(refer to "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" main function: demo_text_deblurring)

曲波变换程序代码，实现图像的曲波分解以及显示，可以去图像进行曲波去噪增强，对彩色图像空间模型转化后提取曲波信息(Qu Bo transform program code, and display the image decomposition Qu Bo, Qu Bo can go to image edge enhancement, color image space model for transforming information extracted after Qu Bo)

说明：  几种高分辨率图像重建算法的实现 以及各功能对比，利用matlab GUI实现(super_resolution reconstrction)

说明：  实现对图像的归一化处理，为图像进行水印嵌入等操作打下基础(The realization of the normalized image processing, for image watermark embedding operation, such as laying a foundation)

基于Powell和互信息的多分辨率图像配准(Image registration Powell and mutual information)