1760668_deblur_tv_fista

几个大牛对集成了国内外特征提取最前沿的算法，特征提取，DOG,HARRIS,HARRIS-LAPLACE,HARRIS-AFFINE,MSER.描述符，SIFT,AFFINE-SIFT,GLOH.经测试，速度快，描述符准确。(Integration of feature extraction algorithms from several expert of domestic and international, feature extraction： DOG, HARRIS, HARRIS-LAPLACE, HARRIS-AFFINE, MSER； Descriptors： SIFT, AFFINE-SIFT, GLOH. The test reveal the speed and accurate descriptor.)

AVIRIS 高光谱遥感数据,220个波段，145*145(AVIRIS Hyperspectral data,220bands，145*145)

尺度空间sift算法的matlab实现，对理解算法步骤很有帮助(Scale space sift algorithm matlab to achieve an understanding of the steps of the algorithm helpful)

说明：  criminisi算法。传统的criminisi图像修复算法，可对破损图像进行纹理修复(Criminisi algorithm. The traditional criminisi image restoration algorithm can repair the damaged image texture)

水平集方法的实例演示,对于初学水平集的朋友有很多帮助。(Examples demonstrate the level set method, the level set for the beginner friends have a lot of help.)

相移三步法、四步法、五步法及相应的相位解包裹程序(?àò?èy 2?·¨? ￠ ?? 2?·¨? ￠ ?? 2?·¨?° ?àó | μ??à? ?? a ° ü 1 ü 3 ìDò)

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.)

利用Hough变换，可以检测图像中的多条线段，效果很好(using hough transform for line detection)

能计算图像的灰度直方图，及其对应的灰度均值(calculate means ，variance，bins)

说明：  基于压缩传感的图像处理，其中运用了迭代的方法，不错的文章(Based on compressed sensing image processing, which used the iterative approach, a good article)