INSARjiechanchao

说明：  利用matlab对图像进行双线性插值处理，具有良好的实现效果，亲测亲试。(Using matlab to process the image by bilinear interpolation, it has a good effect to realize the pro-test.)

Reversible data hiding in images

一个高效的matlab彩色图像分割软件，(An efficient color image segmentation matlab software)

说明：  对二维图像进行分形维数的计算，采用差分盒维数进行计算，并且进行了拟合误差的计算(The fractal dimension of two-dimensional image is calculated by using the differential box dimension, and the fitting error is calculated)

说明：  傅立叶变换在图像处理中的重要作用： (A) 图像增强与图像去噪 绝大部分噪音都是图像的高频分量，通过低通滤波器来滤除高频噪声；边缘也是图像的高频分量，可以通过添加高频分量来增强原始图像的边缘； (B) 图像分割与边缘检测 提取图像高频分量 (C) 图像特征提取 形状特征：傅里叶描述子 纹理特征：直接通过傅里叶系数来计算纹理特征 其他特征：将提取的特征值进行傅里叶变换来使特征具有平移、伸缩、旋转不变性 (D ) 图像压缩 可以直接通过傅里叶系数来压缩数据；常用的离散余弦变换是傅立叶变换的实变换； (Fourier transform in the important role of image processing: (A) image enhancement and image denoising Most of all images of high frequency noise by low pass filter to filter out high frequency noise edge is the image of the high frequency components can be enhanced by adding high frequency components to the edge of the original image (B) Image segmentation and edge detection High frequency components extracted image (C) image feature extraction Shape features: Fourier descriptors Texture: directly through the Fourier coefficients to calculate the texture features Other features: The characteristic value extracted by Fourier transform to the characteristics of translation, scaling, rotation invariance (D) image compression Fourier coefficients can be directly compressed data commonly used discrete cosine transform is the Fourier transform of the real transformation 朗读显示对应的拉丁字符的拼音)

基于主成分分析的遥感图像融合算法，融合结果质量较好。(The fusion algorithm of remote sensing image based on principal component analysis has better fusion result.)

手机壁纸截图小工具源码程序，结合易语言扩展界面支持库，应用易语言图像格式转换支持库，可以截取指定格式的图片，用于手机壁纸。(Phone wallpaper theme gadget source program, combined with easy language support library expansion interface , the application image format conversion easy language support library , can intercept a specified format pictures, wallpaper for mobile phones .)

给予稀疏编码的原理将10幅自然图像进行系数分解成为图像基。(Given to the principle of sparse coding will be 10 coefficients of natural images into separate image-based.)

使用经典边缘检测算子进行边缘检测，加入噪声的图像边缘检测结果和未加噪声的图像检测结果进行对比分析，默认阈值设置的图像检测结果和手动设置阈值的图像检测结果进行对比(Edge detection using classical edge detection operator)

This is the basic code implementing jpeg2000 in matlab