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This code proved to an efficient code for image compression using wavelet transform
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IMAGE COMPRESSION USING DISCRETE WAVELET AND DISCRETE COSINE TRANSFORM -IMAGE COMPRESSION USING DISCRETE WAVELET AND DISCRETE COSINE TRANSFORM
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整数小波变换与图像压缩 用MatLAB实现图像的整数小波变换，对行和列各做一次。采用最简单的S小波，它是Haar变换的整数形式。-integral wavelet transform and image compression .To realize the integral wavelet transform based on the Matlab in rows and columns. Using the simple S wavelet ,which is integral form o
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The code implements the following paper:
Guorong Xuan, Jiang Zhu, Jidong Chen, Shi Y.Q., Zhicheng Ni, Wei Su, "Distortionless data hiding based on integer wavelet transform" IET Electronics Letters, Volume: 38, Issue 25, page 1646- 1648, Decembe
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通过小波变换，采用OMP算法，实现图像压缩重构-The wavelet transform, using OMP algorithm, image compression Reconstruction
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基于小波的编码变换和图像的二次压缩，区别于经典的小波变换-Coding based on wavelet transform and the second image compression, wavelet transform is different from the classic
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小波变换在图像数据压缩中的应用毕业论文，自己原创的，比较简单的压缩方法，供参考交流。版权所有，侵权必究。-Wavelet transform in image data compression using a graduation thesis, their original, simple compression method, and for information exchange. Copyright All Rights Reserved.
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小波变换进行图像压缩 采用matlab编程
-Wavelet transform for image compression
Using matlab programming
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JPEG 2000是基于小波变换的图像压缩标准，由Joint Photographic Experts Group组织创建和维护。JPEG 2000通常被认为是未来取代JPEG（基于离散余弦变换）的下一代图像压缩标准。JPEG 2000文件的副档名通常为.jp2，MIME类型是image/jp2。
JPEG 2000的压缩比更高，而且不会产生原先的基于离散余弦变换的JPEG标准产生的块状模糊瑕疵。JPEG 2000同时支持有损数据压缩和无损数据压缩。另外，JPEG 2000也支持更复杂
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image compression using descrete wavelet transform
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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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In this paper we proposed a method of
embedding owner’s speech signal. Speech being a biometric data,
the watermark signal in this method is expected to be more
meaningful and has closer correlation with copyright holder.
The main issue of co
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使用小波变换，实现图像压缩。源代码提供下载，完美实现图像压缩！(Using wavelet transform to realize image compression)
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