- 在MATLAB中编写实现图像的不同级别小波分解算法
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- 源码语言:简体中文
- 源码类型:Matlab资料
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- 更新时间:2008-6-30 20:59:54
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源码简介
在MATLAB中编写实现图像的不同级别小波分解算法;2选择合适的小波基;3对经典的几幅黑白和彩色图像进行DWT变换;4实现零树、基于塔式网格矢量量化、基于LBG算法、基于标量量化等小波变换编码;5得到分析比较结果。达到的目的:1综合训练学生编程的能力;2对高数、计算方法、程序设计、数据结构、算法、数字图像处理等课程的复习和运用;3可培养学生的算法设计和分析能力。
in MATLAB prepared to achieve different levels of image wavelet decomposition algorithm; Choice of two small Porgy; Three pairs of classic pieces of black-and-white and color images DWT; Four zero tree, grid-based Tower vector quantization, LBG-based algorithm, based on the scalar quantization Wavelet Transform Coding ; 5 analyzed the results of the comparison. The purpose : a comprehensive training program students; Two pairs of the high number and the method of computation, programming, data structures, algorithms, digital image processing and review of the curriculum used; Three students can develop the algorithm design and analysis.
in MATLAB prepared to achieve different levels of image wavelet decomposition algorithm; Choice of two small Porgy; Three pairs of classic pieces of black-and-white and color images DWT; Four zero tree, grid-based Tower vector quantization, LBG-based algorithm, based on the scalar quantization Wavelet Transform Coding ; 5 analyzed the results of the comparison. The purpose : a comprehensive training program students; Two pairs of the high number and the method of computation, programming, data structures, algorithms, digital image processing and review of the curriculum used; Three students can develop the algorithm design and analysis.
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