I am working on Blind Image Deblurring of real images (not synthetically blurred, don’t know ground truth clear image and blur kernel).

To compare performances of diff. algorithms; PSNR, ISNR, Error ratios are used, but these all are for synthetically blurred images (bcz require ground truth image to calculate mse).

My question is, for real blurred images when i don’t have ground truth clear image, what technique/formula i should use to compare the performance of different algorithms.

Thanks in advance

]]>I tried to display de landsat OLI 8 in matlab, this is my code

X = multibandread(‘alldata’, [7621, 7791,7], ‘uint16’,…

0,’bsq’, ‘ieee-le’, {‘Band’, ‘Direct’, [3,2,1]});

figure, imshow(X)

the image who display is not good image.

thank you ]]>

matlab hangs when I read a single channel image of size more than 4 GB

how to overcome this … kindly suggest a way to come out ]]>

First thing: what if i am interested only in the *availability* of a path from a row of a matrix to a different row (i don’t mind the distance), do you have any suggestions for a low cost algorithm?

And secondly how could i allow movement that isn’t only up/down/left/right, lets say for example i wish to be able to move on one of the diagonals, (to the upper left neighbor and lower right one, and not the two other diagonal options) ]]>