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subbands
- 小波分析子程序模型和原理结构，子程序模型，-wavelet and waveletcompile
1
- Cognitive radio frequency spectrum detection-The spectrum sensing of a wideband frequency range is studied by dividing it into multiple subbands. It is assumed that in each subband either a primary user (PU) is active or absent in a additive white
ADAPTIVE-IMAGE-FUSION-ALGORITHM
- 针对低可见光图像和红外图像的特点,提出一种基于DT-CWT的自适应图像融合算法.该算法具有好的平移不变性和方向选择性,更适合于人类视觉.先对源图像作双树复小波变换,充分考虑各尺度分解层的系数特征,对 低通子带引入免疫克隆选择,根据统计评价准则定义亲和度函数,自适应获得最优融合权值 对高通子带则根据人类视觉特性定义局部方向对比度,并作为融合准则,突出和增强了各源图像的对比度与细节信息.实验结果表明: 与基于小波的融合结果相比较,本文的融合算法自适应性和鲁棒性更强,较好地保护和显示了源图像中
subbands
- 图像经过小波变换之后提取子带系数源代码在MATLAB中的实现-subbands in matlab
2
- his paper presents a reversible data hiding method based on wavelet spread spectrum and histogram modification. Using the spread spectrum scheme, we embed data in the coefficients of integer wavelet transform in high frequency subbands. The pse
3D
- 真正的3 d双树离散小波变换(DWT)的一个数据集x是使用四个严格采样实现可分3 d DWTs在平行。然后subbands四DWTs结合适当。 -The real the 3 d Doubletree discrete wavelet transform (DWT) data set x four to strict sampling separable 3 d the DWTs In parallel. The then the subbands four DWTs combined ap
RdwtSvdWatermarking
- 将原始载体图片经过一维冗余离散小波变换分成四个子频带，分别对每个子频带进行奇异值分解， 将水印图片灰度值直接按比例缩小嵌入到奇异值矩阵中，再将此矩阵进行一次奇异值分解得到奇异值当做此子带的奇异值， 重建此子带矩阵，而后将进行反冗余离散小波变换得到嵌入载体后的水印图像。-The original image after the one-dimensional vector redundant discrete wavelet transform is divided into four subba
imagecompression97
- 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 sub
2D-imagecompression97
- 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 sub
2D-Image-Analysis
- 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 sub
Infrared-Image-Enhancement
- 针对基于小波变换的红外图像增强方法视觉效果不够理想的缺点, 提出了一种基于平稳小波变换和Retinex 的红外图像增强方法, 利用Retinex 增强算法增强图像的视觉效果, 并改善其亮度均匀性。首先, 对红外图像经平稳小波变换后的最大尺度低频子带图像进行多尺度Retine x 增强 然后, 利用贝叶斯萎缩阈值法对高频子带图像进行阈值去噪, 并根据低频子带图像的局部对比度和模糊规则计算高频子带的增益系数, 从而得到增强后的高频子带图像 最后, 由低频子带图像和高频子带图像重构得到增强后的图像。针
computer
- 文件包含三个主程序，和相关图像，三个主程序分别为computer1，computer2，computer3 computer1对图像进行了灰度化，保存等实现； computer2对图像进行了傅里叶变换，离散余旋变化，二层小波变化及重构等，并对图像进行三层小波变换，分别将HL，LH，HH三个子带置零都重构； computer3实现了图像直方图均衡化，并对图像进行了同态滤波。(The file contains three main programs, and related images, thr
Wavelet_SR
- 本程序是基于单幅图像的超分辨率算法，通过对输入的高分辨率图像进行下采样得 % 到原始低分辨率图像，对输入的低分辨率图像插值后，利用DWT将低分辨率图像分 % 解为不同的4个子带；同时直接对对分辨率图像进行SWT处理。由SWT得到的高频子 % 带来修正DWT得到的高频子带。最后，通过逆离散小波变换（IDWT）组合修正的高 % 频子带和低分辨率图像，得到输出的超分辨率图像。通过计算PSNR和SSIM评价结果。(This prog