Description: 本程序实现二维灰度图像的小波变换和逆变换。
直接运行本目录下的批处理程序run即可。
用户需自己输入以下参数：
1. 图像文件名(lena.bmp，若使用其它图像请先放入本目录下)
2. 选用的小波名称(本程序中可使用haar及db2-db5)
3. 小波变换的级数。
运行结束后小波变换与逆变换结果分别保存在dec.bmp与rec.bmp中。-This procedure realize two-dimensional gray-scale image wavelet transform and inverse transform. Catalog under the direct operation of a batch process can run. Users need their own, enter the following parameters: 1. Image file name (lena.bmp, if the use of other images, please Add Catalog under) 2. Wavelet chosen name (This procedure can be used haar and db2-db5) 3. Wavelet Transform series. Run after the wavelet transform and inverse transform results are stored in dec.bmp in with rec.bmp. Platform: |
Size: 477184 |
Author:canor |
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Description: 数字信号处理作业——小波变换的一个应用：
对一个图像加噪后再进行小波去噪、复小波去噪操作。-Digital signal processing operations- An application of wavelet transform: for an image noise after wavelet denoising, complex wavelet denoising operation. Platform: |
Size: 171008 |
Author:yoyo |
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Description: 运用DB小波对图像进行小波变换和逆小波变换。包括了最基本的HARR波。-The use of DB wavelet image wavelet transform and inverse wavelet transform. Including the most basic HARR wave. Platform: |
Size: 131072 |
Author:shi zhenxiang |
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Description: 图像小波变换matlab代码，含有测试图象和使用说明-Image wavelet transform matlab code, containing the test images and use Platform: |
Size: 196608 |
Author:wanxl_xjtu |
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Description: 本程序可以实现利用小波变换对图像和数字信号的进行去噪-This procedure can be achieved using wavelet transform for image and digital signal Denoising Platform: |
Size: 3072 |
Author:coco |
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Description: 二维离散小波变换的代码，用C语言实现，可用于数字信号处理、数字图像处理、地震勘探-Two-dimensional discrete wavelet transform code, using C language implementation can be used for digital signal processing, digital image processing, seismic exploration Platform: |
Size: 2048 |
Author:baidu85 |
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Description: The dual-tree complex wavelet transform a new efficient tool for image restoration and enhancement Platform: |
Size: 250880 |
Author:cai |
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Description: Image denoising with wavelet
We first load an image, and add some noise to it
The orthogonal wavelet transform is not very efficient for image denoising because it lacks translation invariance. This is why there is so many reconstruction artifact in the previous denoising experiments. Translation invariant wavelet transform reduces these effect by increasing the redundancy of the wavelet transform. It thus requires more time to perform the denoising. Platform: |
Size: 225280 |
Author:Swati |
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Description: main executing reference usage: observeWaveletDecompositionBenchmark_N_levels.m
The objective is to illustrate wavelet decomposition, and to describe how operations may be done in the wavelet domain before the reconstruction. The demo decouples the wavelet operations (transform, operation in wavelet domain, and reconstruction) from the plotting.
A PSNR and MSE describes the possible distortion (however minimal) of the forward and inverse wavelet transform.
* Caveat: The image display may be subjected to the selected target image. The objective is to provide a simple framework for the understanding of working with wavelets. Platform: |
Size: 210944 |
Author:elfrania |
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Description: Images require substantial storage and transmission resources, thus image compression is advantageous to reduce these requirements. The report covers some background of wavelet analysis, data compression and how wavelets have been and can be used for image compression. This project aims at implementing wavelet transform for image compression. The wavelet transform is implemented using Matlab.As the wavelets provide a unique relation between time and scale components of the signal, this property makes wavelets suitable for image compression and also the efficient decomposition of signals prior to compression. Platform: |
Size: 1024 |
Author:prince |
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Search - image wavelet transform