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快速运动去模糊，在盲去卷积过程中运用一些加速算法(Fast motion to blur in the blind deconvolution algorithm to accelerate the process of using some)

说明：  水下图像融合，图像融合，matlab语言(Underwater image fusion, image fusion, MATLAB language)

说明：  在稀疏域中，基于迭代阈值的线性反转问题，Daubechies 的经典外文文章，用于压缩感知(In the sparse domain, iterative threshold-based linear inversion problem, Daubechies classic foreign language articles for compressed sensing)

过分割后区域合并代码。思想是在多尺度下，基于区域的色彩，纹理，形状信息的合并方法。(After the merger of over-segmentation region code. Thinking is in a multi-scale, region-based color, texture, shape information of the combined method.)

采用Graph Cut算法进行multiple-label的图像分割，算法很完整，非常适合初学者以及开发人员参考(multiple-label image segmentation using Graph Cut based algorithm, suitable for beginners and developers)

双线性插值算法是一种空间域的错误掩盖算法，本程序实现了用双线性插值算法恢复受损图像的matlab程序(Bilinear interpolation algorithm is a spatial domain error concealment algorithm to achieve this program using bilinear interpolation algorithm to restore damaged image matlab program)

介绍qbic图像处理工具的详细文档，如有兴趣请看看(Introduction qbic detailed documentation of image processing tools and, if interested please take a look)

MATLAB工具sift实现图像拼接，上下拼接(MATLAB tool sift image stitching, stitching up and down)

) 使用分块的主成分分析方法(PCA)对人脸图像进行压缩编码。针对PCA方法计算量大的缺点,首先把问题转化成奇异值分解(SVD)问题,然后设计了特征空间的更新算法,通过递推,简化每一步计算的计算量,达到了实时编码的要求。 4) 在Windows平台下基于Video for Windows(VFW)接口开发了人脸视频图像编码和解码的实验系统,该系统实现了图像采集、图像显示、编码、解码等功能。() The use of sub-blocks of principal component analysis (PCA) on the human face image coding. PCA method for large defects, first of all the issues into a singular value decomposition (SVD) problem, and then design a feature space of the update algorithm, recursive, simplifying the calculation of the amount calculated at each step to achieve real-time encoding requirements. 4) In the Windows platform based on Video for Windows (VFW) interfaces, the human face image coding and decoding video experimental system, the system achieved image acquisition, image display, encoding, decoding functions.)

一个关于数字图像处理的PPT教程,希望对大家有所帮助(On digital image processing PPT tutorials, and they hope to help everyone)