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
- URL
- https://idus.us.es/handle/11441/56189
- URN
- urn:oai:idus.us.es:11441/56189
- Origin repository
- USE