Abstract
The paper features the method of application of a neural network for improving the quality of the digital images generated by means of devices for backup and processing of data into a digital form which construction is based on the Charge Coupled Device (CCD) structure. In order to introduce the problem, the digital images were generated by means of two scanners (including a high class and a low class scanner) and afterwards the images were subject to an objective and a subjective evaluation. An objective evaluation was performed using two quality criteria, i.e. MSE (Mean Square Error) and Universal Image Quality Index. A FIR (Finite Impulse Response) filter applied for filtration of a low quality image was obtained as the result of the neural network learning process. The image so generated as the result of filtration features a superior quality in comparison to the original.
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Pęksiński, J., Mikołajczak, G. (2010). Generation of a FIR Filter by Means of a Neural Network for Improvement of the Digital Images Obtained Using the Acquisition Equipment Based on the Low Quality CCD Structurecture. In: Nguyen, N.T., Le, M.T., Świątek, J. (eds) Intelligent Information and Database Systems. ACIIDS 2010. Lecture Notes in Computer Science(), vol 5990. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12145-6_20
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DOI: https://doi.org/10.1007/978-3-642-12145-6_20
Publisher Name: Springer, Berlin, Heidelberg
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