xiaobo

基于小波变换方法的去雾源代码图像复原代码(Wavelet-based approach to image restoration fog source code)

说明：  针对不同采样频率和输入信噪比的心磁信号进行滤波操作，呈现出对同一输入信号采取不同滤波算法的去噪结果。(The filtering operation is performed on the magnetic heart signals of different sampling frequencies and input signal-to-noise ratios, showing the denoising results of different filtering algorithms for the same input signal.)

整数小波变换，可以直接运行，对图像小波分解(Integer wavelet transform)

用于折射波处理时的to、θ函数法求界面深度，浅层地震(Used for refraction wave in processing, θ function method to ask interface depth, shallow earthquake)

基于小波变换的图片重建 有完整代码 工程 以及说明 涉及到图片的切割(image reconstruction based on wavelet translate )

自己写的小波图像压缩，包括普通压缩和序列图像压缩(himself wrote of wavelet image compression, including the compression and ordinary sequence Image Compression)

对雾天图像利用小波变换分解，实现图像去雾增强，分解的层数越多，处理后的效果越明显。(On the fog image using wavelet transform decomposition, to achieve the image to fog enhancement, decomposition of the number of layers, the more obvious the effect of the treatment.)

基于MATLAB的GS算法的高斯光束整形设计(Designof BinaryOptical Element withMATLAB)

实现小波变换，小波滤波器，小波除噪等功能。(To achieve wavelet transform, wavelet filters, wavelet denoising function)

基于小波变换模极大的多尺度图像边缘检测matlab源代码(based on wavelet transform modulus maxima of multiscale edge detection Matlab source code)