数字图像处理,离散余弦dct变换域中水印的提取

该程序实现了图像的配准功能，对两幅同一区域图像进行配准，进而实现图像拼接功能 -The program achieved a functional image registration of two images in the same region registration, and image stitching function

包含图像的DCT变换，方块编码，直方图均衡，维也纳滤波等28种基础处理，用VC实现，包含测试图像，比较有实用价值-Contains images of DCT transform, box codes, histogram equalization, Vienna filtering based on 28 kinds of treatment, using VC realize, including the test images, comparison has practical value

基于马尔可夫随机场的图像恢复，给出产生MRF的程序并应用于图像去噪-GMRF based on the image restoration, MRF is generated and applied to the procedures Image Denoising

图像质量评估程序，主要 用于遥感影像质量评估用C#编写-Image quality assessment procedures, mainly for remote sensing image quality assessment prepared using C#

对BMP图像进行各种特技效果的显示，条例清晰，方便好用-BMP images on the display of a variety of special effects, regulations clear and is easy to use

This collection of m-files will only get you through the very bear necessities (Look for the ...) of a single-run fMRI-analysis. Its actual aim is to illustrate the efficacy of spatial regularisation of the autocorrelation esimate in the framework of prewhitening the data to correct for serial correlations in the data, as described in the following paper: Gautama, T. and Van Hulle, M.M. (2004), Optimal Spatial Regularisation of Autocorrelation Estimates in fMRI Analysis, NeuroImage, in press.

可运行,包括图象处理和VC++的学习,适合初学者.需要的可以下载.-Run, including image processing and VC++ Learning, suitable for beginners. What is needed can be downloaded.

用IDL编写的角点检测程序,其中的K值在程序里设定可以得到不同的效果并适应不同的图象-IDL写慕堑, 械K 诔 chemokine 缘 玫 同 效应 同 图

本文针对多光谱图像配准中不同光谱图像间存在较大的灰度差异、同一景 物在不同波段表现的特征也各不相同等问题，提出了基于互信息相似性测度的 多光谱图像配准算法。-In this paper, multi-spectral image registration between images in different spectral gray there is a big difference, the same scene in different performance characteristics of band varies and so on, based on mutual information similarity measure for multi-spectral image registration algorithm .

图像处理中的密度滤波方法，可去除小斑点杂波的影响。-Image processing method of the density filter can remove the effects of clutter in small spots.