基于DCT的彩色图像压缩

基于小波变换的图像去噪处理，通过学习小波变换的方法实现对图像的去噪处理，达到所预期的效果(Image denoising based on wavelet transform, realize image denoising by wavelet transform learning method, to achieve the desired effect)

This DataEntryFilter filters data entries based on whether their names match a given StringMatcher.

说明：  对图像进行显著性增强，并且将显著新部分分割处理(The image is significantly enhanced and the significant new part is segmented)

说明：  本程序利用python程序对hdf文件进行处理，转换格式。(This procedure USES python program to process THE HDF file, convert the format)

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.)

softcast的2d dct实现，先对图像转灰度图，得到的亮度信号矩阵做DCT 变换(softcast of 2d dct implementation, the first image to grayscale, luminance signal obtained by DCT transformation matrix do)

说明：  图像分割指把图像分成各具特性的区域并提取出感兴趣目标的技术和过程，它是由图像处理到图像分析的关键步骤。小麦的图像分割是使用各种图像分割算法对小麦图像进行处理和研究，提取出有用的图像信息以实现小麦粘连籽粒的分离，为进一步利用图像处理技术分析小麦品质提供依据。因此，对小麦图像分割方法的研究具有十分重要的意义。 本文首先研究了图像分割算法的分类以及常用图像分割算法的基本原理。然后针对小麦图像的特点，研究了在不同光照、背景和连接情况下使用的小麦图像分割方法，对各种分割算法进行了比较、结合和改进。重点研究了基于小波变换的分水岭算法和阈值分割算法在小麦图像分割中的应用，并借助MATLAB工具软件对选定图像进行处理，实现了对小麦粘连籽粒的分离。最后本文对图像分割技术进行了展望。 本论文的研究对于图像分割技术在小麦品质中的应用具有一定的参考价值。 (Image segmentation is a technology and process that divide image into different character area, which is interesting us. It is a key step from image processing to image analyzing. The wheat image segmentation is a way using many algorithms does some research and processing, and it also can realize the separation of wheat adhesion and realize the extraction of useful image information. So it can lay the foundation for using image processing technologies to analysis the quality of the wheat. there is a very important meaning for the research of the image segmentation method. This paper studies the class and the principle of segmentation algorithm in common use firstly, then, studies the wheat image segment algorithm with different illumination background. It contrasts kinds of algorithms, and improved them. This paper is based on wavelet transform, and combines with the watershed algorithm and the threshold segmentation method. Using the MATLAB software, does some process on the wheat i)

采用最大方差阈值分割法，对指纹进行提取。(Using the maximum variance threshold segmentation method for fingerprint extraction.)

contourlet 区域统计法，进行图像融合(contourlet regional statistical method for image fusion)

说明：  Vibe 运动目标检测 基于matlab(Vbie Moving Target Detection)(Vibe moving target detection based on MATLAB (vbie moving target detection))