% Streaking and Banding Measurement
function [overall_image_mean, overall_image_std, overall_image_snr, column_mean, row_mean, column_std, row_std, column_snr, row_snr, column_streak, row_streak]=image_stats(image);
% This routine calculates various statistics of an image, including the
% mean, standard deviation, and signal to noise ratio of the whole image, of
% columns, and rows. It also calculates streaking in the column and row
% directions
[m n]=size(image);
oneD_image=reshape(image,[1,m.* n]);
overall_image_mean=mean(oneD_image);
overall_image_std=std(oneD_image);
overall_image_snr=overall_image_mean./overall_image_std;
% Calculate mean, standard deviation and SNR of every
% column and row in the image
column_mean=mean(image);
row_mean=mean(image');
column_std=std(image);
row_std=std(image');
column_snr=column_mean./column_std;
row_snr=row_mean./row_std;
% Calculate streaking in each column and row
% Streaks are defined as the difference between a column or row
% average value and the average of the averages of the two adjacent
% columns or rows
column_streak=zeros(1,n);
column_streak=abs(column_mean(2:n-1)-(column_mean(1:n-2)+column_mean(3:n))./2);
row_streak=zeros(1,m);
row_streak=abs(row_mean(2:m-1)-(row_mean(1:m-2)+row_mean(3:m))./2);
% Plot
figure (1)
plot([1:n],column_mean);
figure (2)
plot([1:m],row_mean);
figure (3)
plot([1:n],column_snr);
figure (4)
plot([1:m],row_snr);
