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WAVELET BASED COMPRESSION，本程序用matlab工具编程实现了小波变换进行图像压缩，并且显示压缩前后的图像。代码很简明清晰，适合初学者研究和学习。-WAVELET BASED CPSV, the procedures used Matlab programming tools of wavelet transform for image compression, and compression shown before and after images. Code is
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dwt小波变换，用于对图像的处理与压缩-dwt wavelet transform, for the image processing and compression
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dwt小波变换，用于对图像处理与压缩-dwt wavelet transform, for the image processing and compression
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dwt小波变换，用于对图像处理，压缩-dwt wavelet transform, is used to image processing, compression
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dwt小波变换用于图像处理与压缩-dwt wavelet transform for image processing and compression
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小波算法在vc的具体实现.小波算法在图像处理,视频压缩,特征提取等领域有广泛应用,程序以灰度图像为数据分别演示了一维和二维小波变换,希望对大家有所帮助.谢谢!-vc wavelet algorithm in a concrete realization. Wavelet algorithms in image processing, video compression, feature extraction and other fields have extensive application
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对图像进行二维离散小波变换, 变换级数大于等于3级,然后统计系数中0的个数（百分比表示），并进行重构, 最后计算重构图像的峰值信噪比(PSNR).
里面还附上了我写的实验报告，对大家理解Mallat算法和图像压缩很有帮助-Image two-dimensional discrete wavelet transform, transform series greater than or equal to 3, and then statistics of the number of c
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本文运用了神经网络中的自组织向量机和小波变换相结合，实现了图象的压缩，通过训练样本，得到好的结果-In this paper, the neural network of self-organizing vector machine and wavelet transform combining image compression achieved through the training samples obtained good results
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实现小波变换对图像进行压缩。先进行db1小波二层分解，然后由均匀量化算法对其进行量化实现压缩。-The realization of wavelet transform for image compression. First two db1 wavelet decomposition, and then by the uniform quantization algorithm to quantify the achievement of its compression.
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主要用于图像经小波变换压缩图像，并计算压缩后的图像压缩性能即压缩比和信噪比-Mainly used for image compression by wavelet transform image, and calculate the compressed image compression performance that the compression ratio and signal to noise ratio
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VC++实现小波变换对图像的压缩编码，以及解码-VC++ implementation of wavelet transform for image compression coding and decoding
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应用二维的离散小波变换，实现图像的压缩。-Two-dimensional discrete wavelet transform, for image compression.
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这是小波变换用于图像压缩的鼻祖级文章，找了好久才找到的资料，大家在写这方面的文章中肯定要引用的-This is the wavelet transform for image compression level originator of the article, looking for a long time to find the information, everyone was writing this article will certainly be cited
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This paper presents a new coding technique based on
contourlet transform and multistage vector
quantization. Wavelet based Algorithms for image
compression results in high compression ratios
compared to other compression techniques. Wavelets
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本书全面系统介绍了小波分析的基本理论和最新研究成果，重点介绍小波分析的应用成果，并通过软件实现来检验应用效果。全书分为三篇：第一篇是小波理论，包含8章内容，小波分析的发展历史及文献综述、准备知识、多分辨分析与共轭滤波器、连续小波变换、最佳小波基的构造及算法、二维母小波的构造、框架与样条小波理论、时间----频率分析；第二篇是小波应用，包含12章内容，详细介绍了小波分析在图象压缩、流体力学、工业CT、故障诊断、语音分割、数学物理、地球物理勘探、医学细胞识别、线性系统、神经网络等方面的应用；第三篇是
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小波变换是近年来发展起来的一门新的数学分支
它适宜于分析研究信号的局部性质, 对
于图象数据压缩、奇性检测、非卷积型算子的化简及取样插值定理等方面都有着重要的应-Wavelet transform is developed in recent years a new branch of mathematics it suitable for the local nature of the signal analysis for image
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小波变化实现图像的压缩，图像复原，图像的编码等，用matlab实现的-Wavelet transform for image compression, image restoration, image coding, matlab implementation
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小波变换图像数据压缩的论文，去掉高频信息，实现压缩。-Wavelet transform for image data compression papers, to remove high-frequency information, to achieve compression.
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the source code used for image compression using wavelet transform. to use this codes u have to first convert RGB image to grayscale and also its colourmap
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E ective image compression requires a non-expansive discrete wavelet transform (DWT) be
employed consequently, image border extension is a critical issue. Ideally, the image border
extension method should not introduce distortion under compressio
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