Description: Matlab环境下利用Daubechies小波族中的db10小波对散斑退化图像进行了压缩数值仿真研究。研究表明：阈值以及分解层次的选取影响着图像压缩的质量。-Matlab environment using Daubechies wavelet tribal db10 wavelet the withdrawal of speckle image compression for the numerical simulation. Research shows : the threshold level of decomposition is influenced by the quality of image compression. Platform: |
Size: 4264 |
Author:安 |
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Description: Matlab环境下利用Daubechies小波族中的db10小波对散斑退化图像进行了压缩数值仿真研究。研究表明：阈值以及分解层次的选取影响着图像压缩的质量。-Matlab environment using Daubechies wavelet tribal db10 wavelet the withdrawal of speckle image compression for the numerical simulation. Research shows : the threshold level of decomposition is influenced by the quality of image compression. Platform: |
Size: 4096 |
Author:安 |
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Description: 2D快速小波变换，支持多种过滤器，包括：Daubechies, Coiflets, Biorthogonal小波。压缩使用的小波是Bior53 and Bior97，能实现快速的动态影像缩放。-2D Fast Wavelet Transform, supports a wide range of filters, including: Daubechies, Coiflets, Biorthogonal wavelet. The use of wavelet compression is Bior53 and Bior97, to achieve fast dynamic image scaling. Platform: |
Size: 68608 |
Author:Kaviten |
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Description: 小波变换源码，国外VC开发的，效果比较好
I ve been involved with wavelet-analysis since my Ph.D studies and over the years developed various wavelet-transforms C++ libraries. This one concerns 2D implementation of the Fast wavelet transform (FWT). The 2D FWT is used in image processing tasks like image compression, denoising and fast scaling. I intended to design the implementation of the 2D FWT with custom filter support and simple in usage. I ve equipped it with known filter families: Daubechies, Coiflets and Biorthogonal wavelets. The wavelets used in compression tasks are Bior53 and Bior97. With Daub1 filter you can achieve fast dyadic image scaling algorithm. You may also experiment with other filters for compression and denoising and compare the results, you may also add your custom wavelets. The nice feature of this library is that reconstruction FWT filters are rearranged the way that you perform just convolution operations on the spectrum, which is very important if you d like MMX -err Platform: |
Size: 99328 |
Author: |
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Description: Digitized images have replaced analog images as photographs or x-rays in many different fields. In their raw form, digital images require a tremendous memory capacity for storage and large amount of bandwidth for transmission. In the last two decades, many researchers have been devoted to develop new techniques for image compression. More recently, wavelets have become a cutting edge technology for compressing the images by extracting only the visible elements. In this paper a wavelet based image decomposition algorithm has been implemented. Also, a nonuniform threshold technique based on average intensity values of pixels in each sub band has been proposed to remove the insignificant wavelet coefficients in the transformed image. Experimental results are obtained to compare the Daub2, Daub3 and Daub4 compactly supported (Daubechies) orthogonal wavelets on various test images using two important performance parameters – compression ratio and PSNR Platform: |
Size: 281600 |
Author:Sid |
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Description: 原书《小波十讲》（TenLecturesonWavelets）是一本世界范围公认的经典学术名著，是当代数学著作中一本影响巨大的绝妙好书。书中包含了20世纪80年代以来世界上有关小波分析的最先进成果，也包含Daubechies本人关于紧支撑小波的卓越成就。对于学习研究小波理论、探讨分析小波应用的人而言，此书是不可不读的基础性经典著作。-The original book " Ten Lectures on Wavelets" (TenLecturesonWavelets) is a recognized classic academic world famous, is a modern mathematical works great influence in the wonderful book. The book contains 80 years since the 20th century, the world' s most advanced on the results of wavelet analysis, is also included on the compactly supported Daubechies wavelet my achievements. For the Learning of wavelet theory, wavelet analysis of the application of people, this book is a basic must-read classics. Platform: |
Size: 6029312 |
Author:徐荣 |
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Description: 1 Haar Wavelets
1.1 The Haar transform
1.2 Conservation and compaction of energy
1.3 Haar wavelets
1.4 Multiresolution analysis
1.5 Compression of audio signals
1.6 Removing noise from audio signals
1.7 Notes and references
2 Daub echies wavelets
2.1 The Daub4 wavelets
2.2 Conservation and compaction of energy
2.3 Other Daubechies wavelets
2.4 Compression of audio signals
2.5 Quantization, entropy, and compression
2.6 Denoising audio signals
2.7 Two-dimensional wavelet transforms
2.8 Compression of images
2.9 Fingerprint compression
2.10 Denoising images
2.11 Some topics in image processing
2.12 Notes and references
3 Frequency analysis
3.1 Discrete Fourier analysis
3.2 Definition of the DFT and its properties
3.3 Frequency description of wavelet analysis
3.4 Correlation and feature detection
3.5 Object detection in 2D images
3.6 Creating scaling signals and wavelets
3.7 Notes and references Platform: |
Size: 4108288 |
Author:Rakesh |
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