▍1. SNR
计算一副图像,或者加噪声后图像信噪比和峰值信噪比,代码非常简洁方便,效率很高。(Calculate the image SNR and PSNR)
用c语言写的db4多尺度小波去噪代码,效仿matlab的方式,将分解后的系数存放在原数组里(Db4 multi-scale wavelet denoising code, c language written emulate matlab manner, the decomposition coefficients stored in the original array)
说明: 傅里叶变换中的角谱衍射理论,GS算法实现(Angle spectrum diffraction theory in Fourier transform, Realization with GS algorithm)
用点扩散函数psf对波前编码系统产生的模糊图像进行复原得到清晰图像(use the PSF of wavefront coding system to restore its blurred image )
说明: 改进了Criminisi算法,采用P-laplace算子作为数据项进行优先级计算,并有计算PSNR的功能(Improved Criminisi algorithm, using P-laplace operator as data items priority basis, and have calculated the functions of PSNR)
这是个criminisi算法的源码,可以对图像进行相应的修补。效果很好。(This is a criminisi algorithm source code, images can be appropriate patch. With good results.)
这是个criminisi算法的源码,可以对图像进行相应的修补。效果很好。(This is a criminisi algorithm source code, images can be appropriate patch. With good results.)
说明: 去卷积 图像复原 去卷积操作 matlab(deconvolution Image restoration)
社会力模型,基于社会力的行人流模型,包括行人间作用力,行人与墙体等障碍物的作用力等。(Social force model)
心音诊断界面,读取一个既定的心音音频文件,可以显示波形,自动简易诊断。(Diagnosis of heart sounds interface, read a given heart sound audio files, you can display the waveform, automatic simple diagnosis.)
采用 MATLAB 开发环 境,提出了一种图像信息隐藏算法,实现了图像信息隐藏的两大基本功能,即信息的嵌入和信息的提取.同 时,模拟常见的攻击方法,验证了添加隐藏信息后的图像的抗攻击能力(Using MATLAB to develop the environment, an image information hiding algorithm is proposed, which realizes two basic functions of image information hiding, i.e. information embedding and information extraction. At the same time, common attack methods are simulated to verify the anti-attack capability of the image added with hidden informati)
说明: 采用 MATLAB 开发环 境,提出了一种图像信息隐藏算法,实现了图像信息隐藏的两大基本功能,即信息的嵌入和信息的提取.同 时,模拟常见的攻击方法,验证了添加隐藏信息后的图像的抗攻击能力(Using MATLAB to develop the environment, an image information hiding algorithm is proposed, which realizes two basic functions of image information hiding, i.e. information embedding and information extraction. At the same time, common attack methods are simulated to verify the anti-attack capability of the image added with hidden informati)