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基于wavelet和bandelet的spiht图像压缩！,And wavelet-based image compression spiht the bandelet!
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讲解了 MATLAB语言环境下
图像压缩和图像融合方面的基本方法和基于小波变换的图像分解与重构。-Explained the MATLAB language environment, image compression and image integration of the basic methods and wavelet-based image decomposition and reconstruction.
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双树复小波变换具有平移不变性、方向选择性等特点，适合进行图像压缩，优于传统离散小波变换方法。-The DT-CWT is suitable to image compression processing because of its shift invariance and directional selectivity. It is preferable to traditional Discrete Wavelet Transform(DWT).
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deals with implementation of DWT
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dwt image compression
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image compression using dwt and dct
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图像压缩感知,稀疏基为FFT或DWT（其中FFT是构造正交变换矩阵，DWT是对高频系数进行测量）；重构方法为OMP-compression sensing of image based on FFT or DWT
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基于离散小波变换和压缩感知理论的灰度图像压缩算法。-Grayscale image compression algorithm based on dwt and compressed sensing.
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algorithme compression image based DCT and DWT
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Digital Watermarking Using Discrete Wavelet Transform (DWT) & Singular Value Decomposition (SVD) & Checking its Robustness in the presence of JPEG Image Compression
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matlab code for image compression using DCT and DWT
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