Description: 小波变换源代码
wav_basic.c: basic filtering, decimation and upsampling routines.
wav_basic.h: interface to wav_basic.c.
wav_trf.c: transform routines.
wav_trf.h: interface to wav_trf.c.
wav_filters.h: where filter banks and their properties are defined.
wav_filters_extern.h: interface to wav_filters.h.
wav_gen.h: some parameters and min/max macros.
macros.h: pointer check macro.
test_transforms.c: main routine for testing transforms and invertibility.
test_denoise.c: main routine for the example denoising applications.
alloc.c: pointer allocation/deallocation.
alloc.h: interface to alloc.c.
Makefile
peppers.raw: 512x512 grayscale test image.-wavelet transform source code wav_basic.c : basic filtering, decimation and upsampling routines. wav_basi c.h : interface to wav_basic.c. wav_trf.c : transform routines. wav_trf.h : interface to wav_trf.c. wav_filters.h : where filter banks and their properties are def INED. wav_filters_extern.h : interface to wav_filters.h. wav_gen.h : some parameters and min / max macros. macros.h : pointer check macro. test_transforms.c : main routine for testing transforms and invert ibility. test_denoise.c : the main routine for example Denoising applica tions. alloc.c : pointer allocation / deallocation. alloc.h : interface to alloc.c. peppers.raw Makefile : 512x512 grayscale test image. Platform: |
Size: 204008 |
Author:李强 |
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Description: wav_basic.c: basic filtering, decimation and upsampling routines.
wav_basic.h: interface to wav_basic.c.
wav_trf.c: transform routines.
wav_trf.h: interface to wav_trf.c.
wav_filters.h: where filter banks and their properties are defined.
wav_filters_extern.h: interface to wav_filters.h.
wav_gen.h: some parameters and min/max macros.
macros.h: pointer check macro.
test_transforms.c: main routine for testing transforms and invertibility.
test_denoise.c: main routine for the example denoising applications.
alloc.c: pointer allocation/deallocation.
alloc.h: interface to alloc.c.
Makefile
peppers.raw: 512x512 grayscale test image. Platform: |
Size: 205109 |
Author:新月 |
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Description: 小波变换源代码
wav_basic.c: basic filtering, decimation and upsampling routines.
wav_basic.h: interface to wav_basic.c.
wav_trf.c: transform routines.
wav_trf.h: interface to wav_trf.c.
wav_filters.h: where filter banks and their properties are defined.
wav_filters_extern.h: interface to wav_filters.h.
wav_gen.h: some parameters and min/max macros.
macros.h: pointer check macro.
test_transforms.c: main routine for testing transforms and invertibility.
test_denoise.c: main routine for the example denoising applications.
alloc.c: pointer allocation/deallocation.
alloc.h: interface to alloc.c.
Makefile
peppers.raw: 512x512 grayscale test image.-wavelet transform source code wav_basic.c : basic filtering, decimation and upsampling routines. wav_basi c.h : interface to wav_basic.c. wav_trf.c : transform routines. wav_trf.h : interface to wav_trf.c. wav_filters.h : where filter banks and their properties are def INED. wav_filters_extern.h : interface to wav_filters.h. wav_gen.h : some parameters and min/max macros. macros.h : pointer check macro. test_transforms.c : main routine for testing transforms and invert ibility. test_denoise.c : the main routine for example Denoising applica tions. alloc.c : pointer allocation/deallocation. alloc.h : interface to alloc.c. peppers.raw Makefile : 512x512 grayscale test image. Platform: |
Size: 203776 |
Author:李强 |
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Description: wav_basic.c: basic filtering, decimation and upsampling routines.
wav_basic.h: interface to wav_basic.c.
wav_trf.c: transform routines.
wav_trf.h: interface to wav_trf.c.
wav_filters.h: where filter banks and their properties are defined.
wav_filters_extern.h: interface to wav_filters.h.
wav_gen.h: some parameters and min/max macros.
macros.h: pointer check macro.
test_transforms.c: main routine for testing transforms and invertibility.
test_denoise.c: main routine for the example denoising applications.
alloc.c: pointer allocation/deallocation.
alloc.h: interface to alloc.c.
Makefile
peppers.raw: 512x512 grayscale test image.-wav_basic.c: basic filtering, decimation and upsampling routines.wav_basic.h: interface to wav_basic.c.wav_trf.c: transform routines.wav_trf.h: interface to wav_trf.c.wav_filters.h: where filter banks and their properties are defined.wav_filters_extern.h: interface to wav_filters.h.wav_gen.h: some parameters and min/max macros.macros.h: pointer check macro.test_transforms.c: main routine for testing transforms and invertibility.test_denoise.c: main routine for the example denoising applications.alloc.c: pointer allocation/deallocation.alloc.h: interface to alloc.c.Makefilepeppers.raw: 512x512 grayscale test image. Platform: |
Size: 204800 |
Author:新月 |
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Description: 木论文主要研究了子带滤波器组的设计方法，尤其是具有线性相位特性的完全重构滤波器组的设计，以及完全重构的子带滤波器组在图像消噪中的应用。-Wood paper studied the sub-band filter bank design method, especially characteristics of linear phase perfect reconstruction filter bank design, and perfect reconstruction subband filter banks in image denoising application. Platform: |
Size: 340992 |
Author:阳关 |
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Description: 用于多通道滤波器组实现最优化设计,主要应用于图象处理-Used to realize multi-channel filter banks to optimize the design, mainly used in image processing Platform: |
Size: 1024 |
Author:过容 |
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Description: 用于过采样滤波器组实现最优化设计,主要应用于图象处理-For over-sampling filter banks to achieve the most optimized design, mainly used in image processing Platform: |
Size: 4096 |
Author:过容 |
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Description: 用VC++实现了contourlet变换，contourlet变换分为两个部分，拉普拉斯金字塔和方向滤波器组。-With VC++ Realize the Contourlet transform, contourlet transformation is divided into two parts, Laplacian pyramid and direction of filter banks. Platform: |
Size: 22528 |
Author:宋建梅 |
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Description: 利用Gabor滤波实现纹理特征的提取。CGabor类用于生成单个滤波器，并可用生成的滤波器对图像进行滤波。CGetTexture生成不同尺度和相位的滤波器组，从文件夹中依次读取图像文件进行一系列滤波，生成纹理特征图像。-Realize the use of Gabor filter texture features extraction. CGabor type used to generate a single filter, and filters can be used to generate image filtering. CGetTexture generated at different scales and phase filter banks, from the folder to read image files in order to conduct a series of filtering, to generate the image texture features. Platform: |
Size: 5120 |
Author:dragon |
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Description: 本书是“MATLAB应用技术”系列丛书之一，以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分，第1部分着重介绍了小波理论基础，包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等；第2部分重点说明了小波分析工具箱的详细使用方法，包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩，以及最新的信号和图像的提升小波变换等内容；第3部分主要介绍了小波工具箱的应用基础，以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。-This book is "MATLAB application technology" Series on one of the latest MATLAB Wavelet toolbox in the Wavelet Toolbox 3.0 version of the basis. The book is divided into three parts, Part 1 focuses on the theory of wavelet basis, including basic knowledge of wavelets, continuous wavelet transform, discrete wavelet transform, multiresolution analysis and orthogonal wavelet transform, wavelet transform and multirate filter banks, 2-dimensional wavelet transform and image processing and the basic principles of wavelet packets, etc. Part 2 highlights the detailed use of wavelet analysis toolbox methods, including graphical user interface, wavelet generic function, one-dimensional wavelet transform MATLAB realization of two-dimensional wavelet transform of the MATLAB implementation of the MATLAB implementation of wavelet packet transform, signal and image noise reduction and compression, and the latest signal and image enhancement of wavelet transform content Part 3 introduces the wavele Platform: |
Size: 86016 |
Author:彭跃华 |
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Description: 一个基于Gabor滤波器组的多特征融合的图像检索算法（CBIR based on Multi-Features Combining Multi-parameters from Gabor Filter-bank, 简称multi法），融合了基于Gabor 小波系数的标准方差，峰态，能量，平滑度和一致性度量五个特征量度，实验表明，该算法是一种更加有效的图像检索方法。-we propose a CBIR algorithm based on Multi-Features Combining Multi-parameters from Gabor Filter-bank(called multi algorithm for short), which use Gabor filter banks and combine five features including standard deviation, kurtosis, energy, smoothness and uniformity together. The results of experiments show that this algorithm is a more effective method used for image retrieval. Platform: |
Size: 2048 |
Author:super |
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Description: 估计是有用的图像散焦几个应用程序 包括去模糊,模糊放大,测量图像 质量和景深分割。在本文中,我们 现在一个简单而有效的方法来评估一个分散注意力 模糊映射关系为依托的对比 图像梯度在当地的图像区域。我们把这种关系 当地的对比之前。我们的方法的优势 是,它不需要过滤银行或频率分解 输入图像 相反,我们只需要比较 当地的梯度概要文件与当地的对比。我们讨论 背后的想法之前,展示其局部对比度 在各种各样的实验效果-Image defocus estimation is useful for several applications
including deblurring, blur magnification, measuring image
quality, and depth of field segmentation. In this paper, we
present a simple yet effective approach for estimating a defocus
blur map based on the relationship of the contrast to the
image gradient in a local image region. We call this relationship
the local contrast prior. The advantage of our approach
is that it does not require filter banks or frequency decomposition
of the input image instead we only need to compare
local gradient profiles with the local contrast. We discuss
the idea behind the local contrast prior and demonstrate its
effectiveness on a variety of experiments Platform: |
Size: 623616 |
Author:liuzhao |
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Description: Colourhistogram
II. TEXTURE FEATURE EXTRACTION IN CBIR
An overview of the proposed CBIR system is illustrated
in Fig. 1. The proposed algorithm, Label Wavelet Transform
(LWT), is based on color image segmentation [1], and it is
an extension of DWT-based texture feature extraction method.
The 2-D DWT is computed by applying separable filter banks
to the gray level images. The detail images Dn,1, Dn,2,
and Dn,3 are obtained by band-pass filtering in a specific
direction, and they can be categorized into three frequency
bands: HL, LH, HH band, respectively. Each band contains
different directional information at scale n. The texture feature
is extracted from the variance (ó2
n,i) of the coefficients cn,i of
the detail image Dn,1, Dn,2, and Dn,3 at different scale n.To
represent the texture feature of an image q, the texture feature
vector of DWT is defined as [2]:
TDWT (q) = [ó2
1,1, ó2
1,2, ó2
1,3, ..., ó2N
max,3], (1)
where Nmax denotes the largest scale. In this work, Nmax Platform: |
Size: 1024 |
Author:lavanya |
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Description: 本书是“MATLAB应用技术”系列丛书之一，以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分，第1部分着重介绍了小波理论基础，包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等；第2部分重点说明了小波分析工具箱的详细使用方法，包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩，以及最新的信号和图像的提升小波变换等内容；第3部分主要介绍了小波工具箱的应用基础，以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。-This book is one of MATLAB application technology Series on the latest MATLAB Wavelet toolbox in Wavelet Toolbox 3.0 version of the basis. The book is divided into three parts, Part 1 focuses on the theory of wavelet basis, including basic knowledge of wavelets, continuous wavelet transform, discrete wavelet transform, multi-resolution analysis and orthogonal wavelet transform, wavelet transform and multi-sampling filter banks, two dimensional wavelet transform and image processing and the basic principle of wavelet packet etc part 2 highlights in detail using wavelet analysis toolbox, including a graphical user interface, wavelet generic function, one-dimensional wavelet transform MATLAB realization of two-dimensional wavelet transform MATLAB implementation of wavelet packet transform MATLAB realize, signal and image noise reduction and compression, as well as to enhance the latest signal and image of the wavelet transform and other content part 3 introduces the application of bas Platform: |
Size: 16481280 |
Author:zhoubo |
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Description: this zip file contains matlab implementation for generating gabor filter banks and applying on image directory and then followed by applying local directional pattern for feature extraction and histogram for each image is calculated Platform: |
Size: 2048 |
Author:NIVI |
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Description: Shows single- and two-stage-decomposition of a sample image, as well as reconstructed branches. The reconstruction error is shown.
Also demonstrates that better compression can often be obtained if different thresholds are allowed for different subbands.
This file is part of the examples provided for the MIT course Wavelets, Filter Banks and Applications. Platform: |
Size: 2048 |
Author:IEEE |
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Description: 可以画出CL多小波的尺度函数和小波函数的图像，只要把滤波器组输入相关的系数即可完成(We can draw the scale function of CL multi wavelet and the image of the wavelet function, so long as the filter banks are input the correlation coefficients can be completed.) Platform: |
Size: 9216 |
Author:好好学习闵 |
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Search - image filter banks