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vc++数字图像编程基础，包括点运算、几何变换（平移、旋转、缩放、镜像）、正交变换（沃尔什、傅里叶、离散余弦）、图像增强（图像平滑、中值滤波、梯度锐化、拉普拉斯锐化）、形态学变换（腐蚀、膨胀、开、关）、边缘与轮廓（robert、sobel、frewit、kirsch、gauss-laplace边缘检测算子，hough变换，轮廓提取，轮廓跟踪）、图像分析（阈值分割、投影检测、差影检测、模板匹配）、图像复原（卷积模糊、逆滤波复原、维纳滤波复原，随机、椒盐噪声）、图像编码（赫夫曼编码、香农费诺编码、行
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Image fusion is a process which combines the data from two or more source images from the same scene to
generate one single image containing more precise details of the scene than any of the source images. Among
many image fusion methods like ave
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the discrete fractional Cosine
算法参考：
S.-C. Pei, M.-H. Yeh.
Discrete fractional Cosine and Sine transforms.
IEEE Trans. Sig. Proc., 49(6):1198--1207, 2001-the discrete fractional Cosine algorithm Reference: S.-C. Pei, M.-H. Yeh. Discrete fr
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The object of image compression is to minimiz
redundant information. This redundancy is due to correlation
between adjacent pixels in a digital image. Different approaches
with variable efficacies deal with this type of redundancy the
decompo
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利用霍夫曼编码进行图像压缩处理，此程序为霍夫曼编码的示例(The performance of a Huffman code is a function of the entropy of the signal distribution and therefore can be
highly dependent in the transform domain in which the code is applied. For example, JPEG partitions an image
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