automate_image

基于学习字典的方法进行彩色图像修复 字典学习方法用FastICA(INPAINTING COLOR IMAGES IN LEARNED DICTIONARY )

Brent算法为结合黄金分割法和抛物线法的一维搜索方法(one dimension search)

利用SBS产生任意形状滤波器,例如矩形滤波器，高斯型滤波，超高斯滤波器等(SBS to generate arbitrary shape filter, such as a rectangular filter, Gaussian filter, super-Gaussian filter)

此工程实现提取jpeg图像的DCT系数首字母概率作为jpeg重压缩检测的特征，以此特征训练出分类模板，可以检测出一张jpeg图像是单压缩还是重压缩。(Works to achieve this extract jpeg image DCT coefficients of the first letter of the probability of detection as a jpeg heavy compression feature, this feature trained classification templates that can detect a single jpeg image compression or recompression.)

matlab区域增长图像分割程序，通过种子点搜索邻域的方法进行增长(matlab image segmentation procedures for regional growth)

基于暗通道先验理论的去雾算法，使用rgb暗通道计算大气光及透射率获得去雾图像(Since the scene radiance is usually not as bright as the atmospheric light, the image after haze removal looks dim. So we increase the exposure of J(x) for display.)

对低质量图像分割和计数，以大米照片为例。(Of low-quality image segmentation and counting to rice as an example photo.)

1、对观测数据进行中心化，； 2、使它的均值为0，对数据进行白化—>Z； 3、选择需要估计的分量的个数m，设置迭代次数p<-1 4、选择一个初始权矢量（随机的W，使其维数为Z的行向量个数）； 5、利用迭代W(i,p)=mean(z(i,:).*(tanh((temp) *z)))-(mean(1-(tanh((temp)) *z).^2)).*temp(i,1)来学习W （这个公式是用来逼近负熵的） 6、用对称正交法处理下W 7、归一化W(:,p)=W(:,p)/norm(W(:,p)) 8、若W不收敛，返回第5步 9、令p=p+1，若p小于等于m,返回第4步 剩下的应该都能看懂了 基本就是基于负熵最大的快速独立分量分析算法(1, on the center of the observation data, 2, making a mean of 0, the data to whitening-> Z 3, select the number of components to be estimated m, setting the number of iterations p < -1 4, select an initial weight vector (random W, so that the Z dimension of the row vectors of numbers) 5, the use of iteration W (i, p) = mean (z (i, :).* (tanh ((temp) ' * z)))- (mean (1- (tanh ((temp)) ' * z). ^ 2)).* temp (i, 1) to learn W (This formula is used to approximate the negative entropy) 6 with symmetric orthogonal treatments W 7, normalized W (:, p) = W (:, p)/norm (W (:, p)) 8, if W does not converge, return to step 5 9 , so that p = p+1, if p less than or equal m, return to step 4 should be able to read the rest of the basic is based on negative entropy of the largest fast independent component analysis algorithm)

一种图像对比度增强算法，包含demo，和图像性能测试(An image contrast enhancement algorithms, including demo)

本人自己编写的一个图像预测编码（DPCM）的简单程序。(I own an image prepared by the Predictive Coding (DPCM) the simple procedure.)