├── psnr.m ├── rmse.m ├── ssim.m ├── 效果.png ├── mutinf.m ├── shannon.m ├── variance.m ├── InputName.bmp ├── avg_gradient.m ├── cross_entropy.m ├── edge_intensity.m ├── relatively_warp.m ├── space_frequency.m ├── figure_definition.m └── readme.MD /psnr.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whdcumt/image-quality-assessment/HEAD/psnr.m -------------------------------------------------------------------------------- /rmse.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whdcumt/image-quality-assessment/HEAD/rmse.m -------------------------------------------------------------------------------- /ssim.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whdcumt/image-quality-assessment/HEAD/ssim.m -------------------------------------------------------------------------------- /效果.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whdcumt/image-quality-assessment/HEAD/效果.png -------------------------------------------------------------------------------- /mutinf.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whdcumt/image-quality-assessment/HEAD/mutinf.m -------------------------------------------------------------------------------- /shannon.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whdcumt/image-quality-assessment/HEAD/shannon.m -------------------------------------------------------------------------------- /variance.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whdcumt/image-quality-assessment/HEAD/variance.m -------------------------------------------------------------------------------- /InputName.bmp: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whdcumt/image-quality-assessment/HEAD/InputName.bmp -------------------------------------------------------------------------------- /avg_gradient.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whdcumt/image-quality-assessment/HEAD/avg_gradient.m -------------------------------------------------------------------------------- /cross_entropy.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whdcumt/image-quality-assessment/HEAD/cross_entropy.m -------------------------------------------------------------------------------- /edge_intensity.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whdcumt/image-quality-assessment/HEAD/edge_intensity.m -------------------------------------------------------------------------------- /relatively_warp.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whdcumt/image-quality-assessment/HEAD/relatively_warp.m -------------------------------------------------------------------------------- /space_frequency.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whdcumt/image-quality-assessment/HEAD/space_frequency.m -------------------------------------------------------------------------------- /figure_definition.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/whdcumt/image-quality-assessment/HEAD/figure_definition.m -------------------------------------------------------------------------------- /readme.MD: -------------------------------------------------------------------------------- 1 | 这是从网上整理出来的图像融合评价标准，总共有13项性能指标。包括平均梯度，边缘强度，信息熵，灰度均值，标准差(均方差MSE)，均方根误差，峰值信噪比（psnr），空间频率(sf)，图像清晰度，互信息(mi)，结构相似性(ssim)，交叉熵(cross entropy)，相对标准差。
2 | 这些有从网上找的，有是自己写的，可能也有错误，大叫交流吧 3 | data.M1,data.M2分别为融合前的两个图像，data.F为融合后的图像 4 | 5 | avg=num2str(avg_gradient(data.F));%平均梯度 6 | ein=num2str(edge_intensity(data.F));%边缘强度 7 | sha=num2str(shannon(data.F));%信息熵 8 | [img_mean,img_var]=variance(data.F);%灰度均值，标准差(均方差MSE) 9 | gray_mean=num2str(img_mean); 10 | vari=num2str(img_var); 11 | rms=num2str(rmse(data.F,data.M1));%均方根误差 12 | psnrvalue=num2str(psnr(data.M1,data.F));%峰值信噪比 13 | sf=num2str(space_frequency(data.F));%空间频率 14 | fd=num2str(figure_definition(data.F));%图像清晰度 15 | mi1=mutinf(data.M1,data.F);%互信息 16 | mi2=mutinf(data.M2,data.F); 17 | mi=num2str(mi1+mi2); 18 | [mssim, ssim_map] = ssim(data.M1,data.F);%结构相似性 19 | ssi=num2str(mssim); 20 | cross_entro=num2str(cross_entropy(data.M1,data.M2));%交叉熵，应该使用标准图像&融合后图像 21 | rw=num2str(relatively_warp(data.M1,data.F));%相对标准差，应该使用标准图像&融合后图像 22 | 23 | 24 | 25 | 自己主要需要：平均梯度，边缘梯度，信号熵，灰度均值和标准差（均方差MSE）和图片的清晰度
26 | 其中平均梯度和边缘梯度，信号熵是对于彩色图像
27 | 灰度均值和标准差（均方误差MSE），图像清晰对于灰度图像
28 | 29 | 30 | imag=imread('E:\InputName.bmp'); 31 | avg=num2str(avg_gradient(imag)) 32 | ein=num2str(edge_intensity(imag)) 33 | sha=num2str(shannon(imag)) 34 | x=rgb2gray(imag); 35 | [img_mean,img_var]=variance(x) 36 | fd=num2str(figure_definition(x)) 37 | 38 | 已测试/效果见test文件夹/测试时间2016.10.3
39 | 测试图片：InputName.bmp
40 | 测试结果：效果.png
41 | 说明：已备份Github2016.10.3
42 | 43 | --------------------------------------------------------------------------------