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.
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Pęksiński, J., Mikołajczak, G. (2012). Using a Neural Network to Generate a FIR Filter to Improves Digital Images Using a Discrete Convolution Operation. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science(), vol 7197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28490-8_31
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DOI: https://doi.org/10.1007/978-3-642-28490-8_31
Publisher Name: Springer, Berlin, Heidelberg
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