Published March 24, 2017 | Version v1
Publication

Image enlargement using the Fuzzy-ELA algorithm

Description

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.

Abstract

Ministerio de Educación y Ciencia TEC2005-04359/MIC

Abstract

Junta de Andalucía TIC2006-635

Additional details

Created:
March 27, 2023
Modified:
December 1, 2023