Open AccessDerivative of an image that corrupted by additive noise
Author(s) -
Suhad A. Hamdan
Publication year - 2019
Publication title -
iraqi journal of physics
Language(s) - English
Resource type - Journals
eISSN - 2664-5548
pISSN - 2070-4003
DOI - 10.30723/ijp.v12i23.335
Subject(s) - noise (video) , image (mathematics) , derivative (finance) , image noise , function (biology) , image quality , mathematics , relation (database) , computer science , algorithm , artificial intelligence , data mining , evolutionary biology , financial economics , economics , biology
In this paper the behavior of the quality of the gradient that implemented on an image as a function of noise error is presented. The cross correlation coefficient (ccc) between the derivative of the original image before and after introducing noise error shows dramatic decline compared with the corresponding images before taking derivatives. Mathematical equations have been constructed to control the relation between (ccc) and the noise parameter.