AUTOMATIC IMAGE RESAMPLING FILTER GENERATION

Costin-Anton Boiangiu () and Ionut-Adrian Nitu ()
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Costin-Anton Boiangiu: Politehnica University of Bucharest, Bucharest, Romania
Ionut-Adrian Nitu: Politehnica University of Bucharest, Bucharest, Romania

Journal of Information Systems & Operations Management, 2016, vol. 10, issue 2, 487-502

Abstract: The digital world, that we’re in constant contact with, is filled with images of all sorts and shapes. However, the resolution of some of those is just not good enough in several scenarios: feature recognition, OCR, document processing, machine vision, and so on, thus making the resampling of the images a very important step towards a correct processing, For the purpose of this work, several existing filters have been analyzed using a comprehensive set of test images. The main goal is to create new filters by using different approaches: genetic algorithms - by generating populations of filters and keeping the best individuals based on a mean error criteria, brute-force solution searching– by selecting the most efficient filters.

Date: 2016
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