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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.
Date : 2026-01-10 Size : 34kb User : aa

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Shapiro提出的内嵌零树小波编码算法(EZW Embedded Zerotree Wavelet),其出发点在于小波变换后各级子带系数之间在空间上和方向上所呈现出带间相似性,这种空间相似性可以用一种新型的数据结构--零树(Zerotree).EZW算法就是充分利用这种相似性,获得高性能的图像编码算法.-Shapiro' s embedded zero tree wavelet coding algorithm (EZW Embedded Zerotree Wavelet), whose starting point is at all levels of sub-band wavelet transform coefficients and the direction in space with the similarity between shows, this space can be similar with a new data structure- zero tree (Zerotree). EZW algorithm is to take full advantage of this similarity, access to high-performance image coding algorithms.
Date : 2026-01-10 Size : 23kb User : wangjin
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