Open AccessRESTORASI CITRA MENGGUNAKAN JARINGAN SARAF TIRUAN (HOPFIELD)
Author(s) -
Silfia Rifka
Publication year - 2009
Publication title -
elektron
Language(s) - English
Resource type - Journals
eISSN - 2654-4733
pISSN - 2085-6989
DOI - 10.30630/eji.1.2.19
Subject(s) - image restoration , computer science , artificial intelligence , image (mathematics) , gaussian blur , computer vision , degradation (telecommunications) , process (computing) , noise (video) , artificial neural network , gaussian , gaussian noise , image processing , physics , telecommunications , operating system , quantum mechanics
The final goal of restoration is image improvement. In general, restoration to degradation modeling and implementation of invers process to get real image. Hopefield method in neural network restoration of image is done by parameters approximation in neural network modeling and reconstruction of degradation image to get real image. In this paper, this method is used image restoration which combines with Gaussian Blur, Uniform Blur and Gaussian Noise. The restoration process using this method take place really fast and suitable to defects restoration of recorder device which recognize the cause of defects and high process speed is needed.