The Sergei Mikhailovich Prokudin-Gorskii (1863-1944) was a photographer between
1909-1915 , traveling in Russia. Used a technique that involved the
exposure of each scene on a glass surface using blue and red
green filters. Then there was no way to print and one could see them
only through special screenings . The negatives are digitized and today
online ([url removed, login to view]).
You should extract the 3 channels , put them on top of each other to
form an RGB image. Auxiliary code given in the file sample_code.m.
pictures given in the file [url removed, login to view],BGR from top to
Your program should divide the image into 3 equal pieces (channels ) and
align 2 in the 3rd (try different set alignment
optimum result ) . For each input image should show color
image and the movement vectors (x, y)which we used for alignment.
The easiest way is to look efthygramisis exhaustively in a window
possible movements eg [-15,15] Pixels independently in the x and y axis , find a
score and keep moving with the best score .
There are a number of metrics that one can use . The most basic
is the L1 norm of the differences between two channels is calculated as
sum (sum (abs (image1-image2))). The images that we do not have to match
certainly the same prices so it is not the most appropriate way . Possible way is
normalized cross-correlation (NCC), which is the inner product between two
images that have been normalized to have zero mean and unit
norm ( see the function of MATLAB normxcorr2).
I need also comments next to each line of code to understand what you do!
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I think it's something that I can do easily. I have followed image processing courses and have done similar course assignments. With little effort this can be done.