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如何利用SOM网络的矢量量化方法进行图像数据压缩?

于 2022-02-15 发布 文件大小:1.93 MB
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本项目使用MATLAB编程,实现基于SOM网络(自组织神经网络)的矢量量化方法,进行图像数据压缩。训练图像采用“Lena.bmp” 图像,用 3×3 子块构成9维矢量进行训练,码本规模取NC =512。 然后分别用 Lena.bmp、 CR.bmp、HS4.bmp 三个图像进行检验。并分别给出了原图像和压缩后的图像、压缩比(CR)、图像恢复信噪比(峰值信噪比 PSNR )。同时本项目实现了不同训练图像、不同矢量大小、不同码本规模下的对比关系。,实验表明,压缩效果较好,信噪比高。本项目来源于神经网络课程大作业,希望对大家有启发。

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