Description: 一系列展示图像压缩技术的源代码。包括有：使用块截断编码的图像压缩(Block Truncation)、基于高斯金字塔变换的图像压缩(Gaussian Pyramids)、基于离散余弦变换对图像压缩(Discrete Cosine Transform)、基于奇异值分解(SVD)的图像压缩(Singular Value Decomposition)。给出的代码还可以用于2D图像噪声消除-A series of image compression technology to display the source code. Include: the use of block truncation coding for image compression (Block Truncation), based on the Gaussian pyramid transform for image compression (Gaussian Pyramids), based on the discrete cosine transform for image compression (Discrete Cosine Transform), based on singular value decomposition (SVD) Image compression (Singular Value Decomposition). Given code can also be used in 2D image noise cancellation Platform: |
Size: 44032 |
Author:李远 |
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Description: 随着遥感、GIS领域对高分辨率、大幅面卫星图像的需求越来越强烈，高分辨率、大幅面可见光卫星正在迅速增加，同时，其单幅卫星图像的幅面也在急剧扩大。一般的卫星遥感图像数据量往往大到以ＧＢ为单位。
我们考虑采用分块、索引及搭建图像金字塔的方式实现大幅面卫星影像的显示与漫游。打开影像不受机器及数据量大小的限制。。。这里把源程序提供给大家。
-With remote sensing, GIS in the field of the high-resolution, large format satellite images of the demand for more and more intense, high-resolution, large format visible satellite is rapidly increasing, while its format from single satellite images are also expanding rapidly. Average amount of satellite remote sensing image data are often large in GB as a unit. We consider the block, the index and build image pyramid the way to achieve large format satellite images of the display and roaming. Open the image from the machine and the amount of data size. . . Here the source code available to everyone. Platform: |
Size: 3773440 |
Author:小田 |
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Description: 一系列展示图像压缩技术的源代码。包括有：使用块截断编码的图像压缩(Block Truncation)、基于高斯金字塔变换的图像压缩(Gaussian Pyramids)、基于离散余弦变换对图像压缩(Discrete Cosine Transform)、基于奇异值分解(SVD)的图像压缩(Singular Value Decomposition)。给出的代码还可以用于2D图像噪声消除。-Series show the source code for image compression technology. Include: use of block truncation coding for image compression (Block Truncation), Gaussian pyramid transform based image compression (Gaussian Pyramids), based on the discrete cosine transform image compression (Discrete Cosine Transform), based on singular value decomposition (SVD) image compression (Singular Value Decomposition). The code given 2D image can also be used for noise cancellation. Platform: |
Size: 61440 |
Author:程擎 |
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