Image enlargement using the Fuzzy-ELA algorithm

Abstract

Comunicación presentada a la "11th International Conference Information Processing and Management of Uncertainty in Knowledge-based Systems" celebrada en Paris del 2 al 7 de Julio de 2006. ; The increase of resolution is one of the most important tasks in image processing. Traditional interpolation algorithms perform a linear interpolation between the closest pixels in the image. This strategy may introduce mistakes specially in the reconstruction of edges and zones with high contrast luminance values. The use of a novel interpolation algorithm for image enlargement is presented in this paper. It employs a fuzzy logic-system to adapt the interpolation to the presence of edges in the image, achieving good results at expense of a low increment in the computational cost. ; This work has been partially funded by the project TEC2005-04359/MIC from the Spanish Ministry of Education and Science, and TIC2006-635 from the Andalusian Regional Government. The first author is supported by the Spanish ministry of Eductaion under the program F.P.U. for Phd. students. ; Peer Reviewed