diedafa

说明：  仿真获取四幅互差半个像素的低分辨率图像，利用反演解析算法重建出一副高分辨率图像，属于亚像元技术或者超分辨率技术。(Simulation Interoperability poor access to four half-pixel low-resolution images, the use of inversion algorithm for the reconstruction of an analytic high-resolution images, belong to sub-pixel super-resolution technology or technology.)

基于轮廓波变换的图像硬阈值去噪程序，并通过等效视数、斑点噪声指数进行评价(Hard-based image thresholding wavelet transform program outline and uated by ENL, speckle noise figure)

Wily book Digital Image processing fundamental dip

说明：  对给定图片求图片中的染色体个数。具体步骤：中值滤波方法，二值化处理，膨胀和腐蚀，开闭运算，求连通区的个数(Of a given picture for the picture of the chromosome number. Concrete steps: median filter method, binarization processing, expansion and corrosion, opening and closing operations, and the number of connected areas)

霍夫曼图像压缩编码，无损压缩，压缩率为2倍，压缩效果很好。(Image compression Huffman coding, lossless compression, the compression rate is 2 times the compression works well.)

BM3D去噪算法的实现和相关文档，很好的去噪算法(Image and video denoising by sparse 3D transform-domain collaborative filtering Block-matching and 3D filtering (BM3D) algorithm )

本文提出了一种基于数字图像轮廓特征的机械零件自动有 效识别的系统。利用工业摄像镜头代替目视作为一个传感器，经过光电转换、图 像采样、图像处理、图像分析识别等一系列的操作，就可以达到机械零件识别的 目的。(This paper presents a digital image based on the outline of the characteristics of mechanical parts automatically effective identification system. Utilization of industrial camera lens as a substitute for visual sensors, through photoelectric conversion, image sampling, image processing, image analysis to identify a series of operations to achieve the purpose of identification of mechanical parts.)

批量化处理图像格式转换，即从img、dat、jpeg等格式转换为tiff格式，在ENVI/IDL环境下直接运行即可。(transform the style of the remote sensing miagery data imgdatjpeg to the tiff style by batch. )

说明：  基于MP的信号稀疏分解参考程序。源程序是《信号与图像的稀疏分解及初级应用》中的(MP sparse decomposition based on the signal reference program. Source is &quot Signal and image sparse decomposition and primary application&quot in the)

hslogic算法仿真，基于matlab的灰度共生算法的集成电路裂痕修复仿真(Hslogic algorithm simulation, integrated circuit crack repair simulation based on MATLAB gray level co-occurrence algorithm)