Using a neural network to generate a FIR filter to improves digital images using a discrete convolution operation

Authors:
Jakub Pęksiński;Grzegorz Mikołajczak
Affiliations:
Faculty of Electrical Engineering, West Pomeranian University of Technology, Szczecin, Poland;Faculty of Electrical Engineering, West Pomeranian University of Technology, Szczecin, Poland
Venue:
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
Year:
2012

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Abstract

The aim of the article is to show correction possibilities of digital images, achieved by image acquisition tools built on low class CCD matrices, such as their quality were close to images achieved by high class tools. For this purpose the authors used the linear filter with 3x3 mask, which were generated with neural network. Digital images were compared using the quality metrics such as MSE, NMSE and Q.