(2019-06-26) Zerbino, D.; Lviv Polytechnic National University
The article proposes a rule for improving
image sharpness and analyzes its implementation by means of
the cellular automata formalism and neural networks. It has been
proved, that the previously known contrasting algorithm, which
uses a template and 3x3 pixels, can be improved considerably by
repeatedly applying the iterative process over templates 2x2
with the rule “anti – blur” ( C 11 = C 11 x F - ( C 12 + C 21 +
+C 22) x S ) and gradient color correction at each step after the
“anti – blur”. Colors of images in the template are presented as
real numbers (R, G, B). To correct the gradient (C11 < C12,
C11 < C21, C11
