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说明：  可对lytro相机所得到的光场图像进行各种处理(The light field image obtained by lytro camera can be processed in various ways.)

多尺度Retinex去雾算法，能有效实现雾霾天获取的模糊图像去雾(Multi-scale Retinex defogging algorithm can effectively achieve defogging defogging)

波包生成函数，适用于初学者对小波的理解，很实用(Wave packet generation function, for beginners to understand the wavelet, it is practical)

/** * jpg图像文件缩放类 * * 本类实现一个对 JPG/JPEG 图像文件进行缩放处理的方法 即给定一个 JPG 文件，可以生成一个该 JPG 文件的缩影图像文件 (JPG 格式 ) *，(/ * * * JPG * * the zoom image file class to implement a class of JPG/JPEG image file to zoom method is given a JPG file, you can generate a miniature image file of the JPG file (JPG format) *,)

阈值重心法实现光带中心线提取，可用于结构光扫描的模型建立，处理二值化图像等。(Threshold barycenter method is used to extract the center line of optical band. It can be used to model structured light scanning and process binary images.)

指纹图像因设备、图像增强处理等原因造成的纹线断裂会产生伪特征点,会对指纹识别产生负面影响。在结 合传统方法优点的同时,针对间距大、方向偏移小和间距大、方向偏移大的断裂情况,本文设计出窗口制约法和改进的 窗口制约法2 种不同的修复方法。实验结果表明,该方法使修复更加全面、完整,提高了伪特征点去除率,易于编程实 现,对细化指纹图像的断裂有很好的修复效果。(The broken ridge fingerprint image processing equipment, image enhancement and other causes will generate pseudo-feature points to be a negative impact on fingerprint identification. While combining the traditional method has the advantage, for the spacing, direction offset small spacing, direction offset large fracture situation, this design window constraints window method and the improved two kinds of constraints, different repair methods. Experimental results show the method to fix a more comprehensive and complete removal of pseudo-feature points, easy to program, well thinned fingerprint image fracture repair.)

说明：  HOG LBP 在python matlab C++环境下的实现(Implementation of HOG LBP in Python matlab C++ environment)

说明：  何凯明暗通道先验图像去雾算法，并用导向滤波进行透射图细化(He Kaiming's prior image defogging algorithm is used to refine the transmission image)

实现了geodesic active contour图像分割算法，用到AOS scheme and level set method(Realize the geodesic active contour image segmentation algorithm, using AOS scheme and level set method)

TIP10的paper "Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization" 的代码。一个图像去噪和超分辨的算法(TIP10' s paper " Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization" code. Image denoising and super-resolution algorithm)