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SPIHT(Matlab).zip
- % Matlab implementation of SPIHT (without Arithmatic coding stage) % % By Jing Tian, scuteejtian@hotmail.com fprintf('----------- Welcome to SPIHT Matlab Demo! ----------------\n'); fprintf('----------- Load
97wave222
- 一个97小波原代码,我们注意到如果把源程序的float 改为short后PSNR将有很大降低。 用提升的方法还是好些！-a wavelet 97 original code, We note that if the source of the float to short after PSNR will be much lower. The method used to upgrade or better!
PSNRCameraman
- PSNR of the cameraman with different wavelet families
MyDwt2D
- 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
psnr_noise
- 图像的小波去噪,给灰度图像加上一定量的高斯噪声,再采用小波变换的方法去噪,计算去噪前后图像的PSNR。-Wavelet Denoising images to grayscale images coupled with a certain amount of Gaussian noise, and then using the method of wavelet transform denoising calculated before and after denoising images PS
watermark_image
- 结合离散小波变换(DWT)技术，利用DWT与HVS相结合的良好特性，探索和建立了一种新的图像质量客观评价方法-taking advantage of the similarities of discrete wavelet transform (DWT) with HVS，a new methods for integrated image quality assessment
EZW
- 此代码是小波零树算法的matlab实现程序，子程序较为齐全，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。-This code is the wavelet zero-tree algorithm matlab implementation procedures, subroutines are more complete, including the final calculation of the peak signal to noise ratio and the compressed
Ban-denoising
- 本代码是基于Bandelet的硬阈值SAR图像去噪，结果与小波变换进行对比，结果表示其在峰值信噪比，边缘保持系数上均有一定的提高。压缩包中有程序和SAR图像。-This code is based on Bandelet SAR image denoising with a hard threshold .the results were compared with the wavelet transform, and the results indicated that in the peak
wavelets
- 实现离散小波变换和DCT变换的对比，包括去噪，psnr等方面的性能的比较 其中小波变换的介数可以由用户自己定义-Achieve the discrete wavelet transform and DCT transform contrast, including the de-noising, psnr comparison of the performance areas in which the number of wavelet transform can be mediated by
wave-inter
- 小波插值（全小波插值，小波双线性插值，小波双三次插值及其改进）放大图像，提高图像的分辨率；对插值图像做质量评价（峰值信噪比PSNR；均方信噪比SNR）-Wavelet interpolation (full wavelet interpolation, wavelet bilinear interpolation, cubic interpolation and improved method) to enlarge the image and improve image resolution
Image_Compress
- 使用小波技术对图像进行压缩和解压过程，并且通过模拟信道测试计算其PSNR，通过Matlab2009a测试。-Using wavelet methods compress and decompress the image, and testing through analog channels to calculate the PSNR, by Matlab2009a test.
WAVELET_WORK
- THIS MATLAB CODE REDUCE THE SPECKLE NOISE IN SAR IMAGE, IT USE WAVELET FILTER THEN USED CASCADE THREE FILTERS IN TIME DOMAIN (HYBRID TIME AND FREQUENCY DOMAIN). THIS CODE NEED SOME MODIFICATIONS SINCE THERE ARE SOME PROBLEMS LIKE BY COMPUTE PSNR
saliency
- 利用图像的时间熵复杂性来寻找图像视觉显著性的区域-The time of image complexity to find the image entropy of significant areas of visual
Wavelet-Decomposition-For-Images
- 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
dwtwm
- This program embed watermark in the wavelet coefficients.Recovery of watermark possible even in presence of noise.Evaluated with psnr
image-denoising-using-wavelet
- 该文件夹包括基于邻阈的小波图像去噪程序。主程序为wave_neighbor.m，实现3*3和5*5邻域去噪；wov_win.m为函数m文件，实现3*3和5*5的滑动窗口；cacupsnr.m为函数m文件，计算mse和psnr等。-This is about image denoising with the method of wavelet.It includes 3×3 and 5×5 neighborhood window.
Inpainting--on-Wavelet-
- 图像修复是图像处理的一个重要问题。这是一个困难的问题，同时填写在地区缺少图像信息的纹理和结构。以损坏的图像inpaint失踪的结构和纹理信息，基于小波分解的图像修补算法提出。首先损坏的图像分解成子图像和纹理结构，利用小波子图像转变。然后，地区结构中缺少的信息的子图像重建曲率驱动扩散（CDD），算法，而在同一区域的纹理子图像填写基于改进的纹理合成的典范 最后，恢复的图像，通过重组，结构和纹理恢复的结果。大量的实验表明，该算法可以快速，高效地恢复在同一时间的结构和纹理信息，视觉效果和峰值信噪比比（P
Wavelet-denoising
- 将小波技术应用于图像去噪，利用复数改进后输出去噪后的MSE和PSNR值-Wavelet denoising was applied to image processing, use a plural improvements after the output wavelet denoising of MSE and PSNR
wavelet
- 对某一标准图像进行二维Mallat小波的3级分解，获得小波高/低频系数，分别 用低频分量LL1、LL2、LL3的小波系数进行图像重建，分别计算这三种情况 和原始图像比较的PSNR。-A standard image 3 2D Mallat wavelet decomposition, wavelet high/low frequency coefficients , respectively Low frequency component LL1 , LL2, LL3 wavelet
wavelet-transfDenosing
- Main function Usage : main_dwt INPUT : Raw Lena image OUTPUT : PSNR value of the denoised image Load clean image- Main function Usage : main_dwt INPUT : Raw Lena image OUTPUT : PS