Deblurring-Images

说明：  在matlab中应用hough变换进行虹膜定位，效果不错，供大家学习！(Application of the hough transform matlab for iris location, good results for everyone to learn!)

基于多分辨率的NSST变换工具箱，用于图像融合效果好，且速度优于NSCT。(Based on Multi-resolution NSST conversion kit for image fusion effect is good, and the speed is better than NSCT.)

图像处理中常用的的标准图像，已经分类，包括PNG、BMP、TIFF、JPG等，未进行二次处理(The image processing used in the standard image has been classified, including PNG, BMP, TIFF, JPG, not second)

维纳滤波器仿真，是对基本算法原理的实现，没有考虑误差模型(Wiener filter simulation, the realization of the basic algorithm principle, without considering the error model)

混合高斯背景建模，可以把连续帧图片前景与背景区分开来(Mixed gaussian background modeling, can continuous frame picture foreground and background to distinguish )

链码直线检测，采用求取图像边界，然后边界跟踪，判别直线(Chain code line detection, to strike the image boundary, then the boundary tracking, discriminant linear)

基于小波变化的边缘检测程序 matlab的m代码 效果不错(Wavelet transform edge)

说明：  基于matlab上的菲涅耳离轴全息记录与再现程序，能对图像进行相应处理得到其全息图。同时能将其再现还原。(Based on the Fresnel off-axis holographic recording and reconstruction program on MATLAB, the hologram of the image can be obtained by corresponding processing. At the same time, it can be reproduced and restored.)

数字图像处理第三版(冈萨雷斯)附带课件PPT，第七章，英文原版(Digital Image Processing PPT by Gonzalez & Woods(3rd edition)，Chapter 7)

本书系统地介绍了图像处理与识别的基本原理、典型方法和实用技术。全书共分12章，第1章～第6章是图像处理与识别的基础内容，包括图像科学综述、MATLAB语言图像编程、图像增强、图像分割、图像特征提取和图像识别；第7章～第10章是图像处理与识别的工程实例，涵盖了医学图像处理、文字识别和自导引小车路径识别等应用实例，并结合理论算法，提供了大量MATLAB代码程序，以帮助读者掌握如何使用MATLAB语言快速进行算法的仿真、调试和估计等方法。第11章～第12章，是两个综合性较强的实例，分别是Visual C++实现的基于神经网络的文字识别系统和车牌定位系统。 本书附带的光盘给出了各个章节列举的实例的源代码，同时赠送了28个常用数字图像处理算法的Visual C++代码实现。 本书讲解深入浅出，实例程序丰富，注重理论与实践相结合。本书可作为计算机应用、自动化、图像处理与模式识别、机电一体化专业的高年级本科生或研究生的参考书，也可供从事图像处理与识别的研究人员和工程技术人员阅读参考。(This book introduces the basic principles of image processing and recognition of the typical methods and practical skills . The book is divided into 12 chapters , Chapter 1- Chapter 6 is the basis of the content of image processing and recognition , including images scientific overview , MATLAB programming language images, image enhancement, image segmentation, image feature extraction and image recognition Chapter 7- Section Chapter 10 is a project example image processing and recognition , covering the medical image processing, character recognition and self- guided trolley path recognition example , the combination of theory and algorithms, for a lot of MATLAB code procedures to help readers learn how to use MATLAB language fast simulation , debugging and estimation methods algorithm. Chapter 11- Chapter 12 , are two examples of highly integrated , namely Visual C++ implementation based on neural network character recognition system and a license plate positioning system. The book)