%tu
clear all
%Figure 2
x=[0 10 20 30 40 50 60 70 80 90 100];
%y=[40.52 39.07 38.14 37.43 36.92 36.52 36.03 35.38 34.46 32.53 27.52];
%y=[27.52 32.53 34.46 35.38 36.03 36.52 36.92 37.43 38.14 39.07 40.52];
y=[22.39 26.77 28.54 29.48 30.16 30.71 31.18 31.76 32.58 33.65 34.82];
z=[0.62 1.14 1.41 1.62 1.71 1.87 1.88 2.01 2.07 2.20 2.15];
%-----------------------------------------------------------
%Figure 1
%-----------------------------------------------------------
%x=[1 1.2 1.4 1.6 1.8 2.0 3.0 4.0];
%y=[39.1819 38.7324 38.7398 38.7621 38.7949 38.8381];
%z=[0.5596 0.5953 0.6144 0.6241 0.6438 0.6759 0.8249 0.8829];
%------------------------------------------------------------
%z=[0.8206 0.5915 0.6104 0.6253 0.6459 0.6759];
x1=[4];
z1=[2.148];
x2=linspace(1,4.4,100);
%y2=ones(1,100).*0.5969;
plot(x,z,'o-',x,y,'o:');%,x2,y2,':');
%xlabel('R-order sample center moment')
%ylabel('Detector Response')
%legend('r-order center moment responds','Fourth-cumulant responds')
xlabel('Compression Quality in Matlab')
ylabel('Detector Response')
legend('PSNR','Detection Value')