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基于提升小波变换的SPIHT图像压缩算法,包含有Spiht和3D-Spiht压缩算法的实现,供大家参考。-wavelet transform based on lifting the SPIHT image compression algorithm, includes Spiht and 3D-Spiht achieve compression algorithm, for your reference.
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实现对图像进行二维小波变换,实现图像压缩,并实现图像的压缩传感-Image wavelet transform, to achieve the two-dimensional image wavelet transform for image compression, and compressed sensing to achieve
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基于小波变换的图像压缩代码,包括压缩比、运行时间和计算复原图像的峰值信噪比-Image compression based on wavelet transform code, including compression ratio, operation time and recovery images of the peak signal to noise ratio calculation
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三层二维小波变换在压缩领域的应用,将一幅256*256的图像压缩为76*76-Three-two-dimensional wavelet transform in compression applications, will be a 256* 256 image compression for the 76* 76
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嵌入式系統中SPIHT算法改進的研究: 本文在重點分析研究SPIHT算法的基礎上,結合現有技術提出一種改進的SPIHT算法.改進的SPIHT算法通過采用提升小波變換、結合人眼視覺特性、對算法的分集排序過程進行優化等措施,進一步提高壓縮性能,而且圖像復原質量較好.-SPIHT algorithm for embedded systems to improve the research: In this paper, the focus of analysis in the SPIHT algori
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this consist of matlab codes for image compression using 2-d wavelet transform.
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Integer wavelet transform for image compression
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小波变换用于图像压缩
把图像进行多分辨率分解,分解成不同空间、不同频率的子图像 ,然后再对子图像系数进行编码。-The wavelet transform for image compression of multi-resolution images decomposed into different spaces, different frequency sub-image, and then encoding the coefficients of the sub-picture.
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基于CS的图像压缩解压,包括CoSaMP和OMP恢复算法,离散小波变换矩阵构造,具体对图像进行压缩解压-CS-based image compression and decompression, including CoSaMP and OMP recovery algorithms, discrete wavelet transform matrix structure, specifically for image compression and decompression
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This code describe the color image compression using discrete wavelet transform in matlab.
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