1

关于数字图像一些典型隐写的隐写分析。隐写、分析和提取的讲解(Steganalysis of Some Typical Steganography in Digital Images)

说明：  改进LBP纹理提取以及纹理分类，主要包括三部分测试：纹理提取、分类和分割(Improved LBP texture extraction and texture classification, including three parts of testing: texture extraction, classification and segmentation)

图象分割程序：先用梯度函数进行边缘检测,然后二值化后分割图象(Image segmentation process: first the gradient edge detection function, and then after binarization image segmentation)

计算机视觉中得八点算法，采用SVD分解最小二乘解来求基本矩阵，这是模拟仿真实验程序。(Was 8:00 in computer vision algorithms, using SVD decomposition least-squares solution to seek the fundamental matrix, which is simulation, experimental procedure.)

说明：  贝叶斯压缩感知例子 Bayesian Compressive Sensing, Shihao Ji, Ya Xue, and Lawrence Carin, IEEE Trans. Signal Processing, vol. 56, no. 6, June 2008.(Bayesian Compressive Sensing, Shihao Ji, Ya Xue, and Lawrence Carin, IEEE Trans. Signal Processing, vol. 56, no. 6, June 2008.)

说明：  用PALKING模糊方法进行边缘检测，还有3个自适应改进方法(PALKING fuzzy method with edge detection, there are three adaptive Improvement)

读取图像，将RGB图像转化为灰度图像，显示并保存(The RGB image is transformed into gray image)

多种图像增强方法，效果都挺好的的。包括dct，灰度变换，直方图均匀化，图像锐化(variety of image enhancement methods, the results are very good. Including Extra, the gray-scale transformation, histogram equalization, image sharpening, etc.)

The focus of this project is to experiment with intensity transformations to enhance an image.

Pyramid methods in image processing