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filters
- 实现了多种空域、频域滤波器：直方图均衡化、中值滤波、拉普拉斯锐化、理想低通、巴特沃斯低通、去条带-realize various space-based and frequency-based filters, like equilzation, median filter, laplacian filter, ideal low-pass filter, Butterworth low-pass filter and wedge filter
FT
- 基于傅里叶变换的去除图像纹理方法。通过去除频域高亮区域来消除纹理，保留低频信息。-Based on Fourier Transform method to remove the image texture. Highlighted region by removing the frequency domain to eliminate the texture, retain low frequency information.
wave_log_exp
- 实现BMP图像的读取，进行两层小波变换，低频进行直方图均衡化，小波重构，并实现指数对数变换，很好用的。-The realization of BMP images to read, to carry out a two-tier wavelet transform, to carry out low-frequency histogram equalization, wavelet reconstruction, and the index of the number of transforma
ComputePSNR
- 计算图像经小波变换，低频部分重建后，与原图像的信噪比！-Images by calculating the wavelet transform, after the low-frequency part of the reconstruction of the original image signal to noise ratio!
EMD
- EMD 适合非线性、动态数据分析，基于数据本身，把数据分解为IMF，从高频到低频-empirical mode decomposition is useful to decompose nonlinear and nonstationary into several IMF from high frequency to low frquency.
image-fusion
- 基于低频融合策略的小波图像融合算法 ，高频系数融合均采用基于像素点绝对值取大的规则-Wavelet image fusion algorithm based on low-frequency fusion strategy, integration of high-frequency coefficients are based on the absolute value of the pixel point to take a big rule
lvbo
- 在频域的基础上对图像进行滤波，带通，带阻，高通，低通-In the frequency domain on the basis of image filtering, band pass, band stop, high-pass, low-pass
fft
- 基于B超图像，利用傅立叶变换分离低频分量，达到无损测温的目的。-Based on B-picture, the use of low-frequency component of the Fourier transform of the separation to achieve non-destructive temperature measurement purposes.
pinyudaizulvbo
- 实现了图像处理中的频域带阻低频处理，适合图像处理的初学者。matlab实现。-Realize the image processing in the frequency domain band-reject low frequency processing, image processing for beginners. matlab implementation.
pinyuditonglvbo
- 实现了图像处理中的频域低通处理，适合图像处理的初学者。matlab实现。-Image processing to achieve a low-pass frequency domain processing, image processing for beginners. matlab implementation.
fractional-differential
- 基于分数阶微分的图像增强技术，代码可以根据图像的梯度信息，更好地增强图像的高频部分，非线性地保留低频部分。-Fractional differential enhancement technology-based image code according to the gradient information of the image can better enhance the high frequency part of the image, to retain the low-freque
A-DDE-Algorithm
- 一种基于红外图像分层处理及动态压缩的 DDE 算法。该算法先将原始14bits 红外图像数据信息中的大动态低频背景和小动态高频细节进行分离提取，并分别对提取的细节层和背景层进行相应的灰度增强和灰度抑制处理，再调整和压缩各图层的动态范围并最终合成 8bits图 像。实验结果表明，该算法能较好地保留并突出原始红外图像中的边缘和细节信息，达到了预期设计的目标。 -put forward a DDE algorithm based on hierarchical processing and d
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
bbb
- 二．二维小波分解与重构程序说明 1.主函数 mymain.m:通过调用所写的函数对信号进行二维小波分解与重构 main.m:利用MATLAB中小波变换函数实现 2.调用的子函数 function [x2,cA,cV,cH,cD] mydwt2(x,Lo_D,Hi_D) 函数mydwt() 对 x 进行二维小波分解 输入参数为x,Lo_D,Hi_D x为输入信号，Lo_D为低通滤波器,Hi_D为高通滤波器 输出参数：cA,cV,cH,cD —— 是