Presentation
Image enlargement using the Fuzzy-ELA algorithm
Author/s | Brox Jiménez, Piedad
Baturone Castillo, María Iluminada Sánchez Solano, Santiago Barriga Barros, Ángel |
Department | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Publication Date | 2006 |
Deposit Date | 2017-03-24 |
Published in |
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Abstract | 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 ... 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. |
Funding agencies | Ministerio de Educación y Ciencia (MEC). España Junta de Andalucía |
Project ID. | TEC2005-04359/MIC
TIC2006-635 |
Citation | Brox, P., Baturone Castillo, M.I., Sánchez Solano, S. y Barriga Barros, Á. (2006). Image enlargement using the Fuzzy-ELA algorithm. En 11th International Conference IPMU, París. |
Files | Size | Format | View | Description |
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Image enlargement.pdf | 1.298Mb | [PDF] | View/ | |