滤波与噪声模型

超炫个性化首页，首页三种随机场景，特效震撼(Stunning personalized homepage)

利用改进的“参考白”算法对彩色图像进行光照补偿(Using improved "reference white" algorithm to compensate illumination of color image.)

说明：  图像特征提取，有SIFT、BOW、VLAD、LBP、HOG、FishVector、gist、Metric、colorhist。(Image feature extraction, including SIFT, BOW, VLAD, LBP, HOG, FishVector, gist, Metric, colorhist.)

贝叶斯分类程序，用于图像的分割，二值化等，是模式识别中的一种基本分类方法。 k均值聚类，神经网络(Bayesian classification procedures for image segmentation, binarization is a basic classification in pattern recognition. k-means clustering, neural networks)

使用傅立叶变换对图像的条纹噪声进行滤除，分别使用了理想低通滤波、巴特沃兹低通滤波和高斯低通滤波进行处理(The use of Fourier transform on the image to filter out the noise of the stripes, respectively, using an ideal low-pass filtering,巴特沃兹Gaussian low-pass filtering and low pass filter to deal with)

Contra Harmonic Mean and Alpha Trimmed Filter alpha剪枝滤波器(Contra Harmonic Mean and Alpha Trimmed Filter alpha pruning filter)

图像融合质量评价指标，包含灰度值，平均梯度，光谱扭曲程度，SSIM，PSNR，MSE等等。(Image fusion quality uation, including gray value, average gradient, spectral distortion degree, SSIM, PSNR, MSE, and so on.)

说明：  使用matlab识别干涉条纹。通过形态学处理，识别干涉条纹数，并计算出条纹间距。内包含交互界面。(The interference fringes are identified by matlab. Through morphological processing, the number of interference fringes is identified and the fringe spacing is calculated. It contains an interactive interface.)

此篇论文是利用稀疏低秩矩阵分解来实验的鲁棒图片的矫正。(This paper is the use of sparse low rank matrix decomposition to experimental robust image correction。 )

轻量级的MTCNN实现，无需caffe和tensorflow基本库支持，内部实现卷积运算，速度比普通mtcnn要快一倍。