A New Image Fusion Technique Based on Directive Contrast

For making an image, which is more suitable for segmentation, feature extraction, object recognition, and Human Visual System, image fusion is frequently used technique. It combines complimentary information from different images of the same scene in a single image. In this paper, a simple but effic...

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Detalhes bibliográficos
Autores: Bhatnagar, Gaurav, Raman, Balasubramanian
Formato: artículo
Fecha de publicación:2009
País:España
Recursos:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:52592
Acesso em linha:https://ddd.uab.cat/record/52592
https://dx.doi.org/urn:doi:10.5565/rev/elcvia.287
Access Level:acceso abierto
Palavra-chave:Fusió d'Imatges
Anàlisi de multiresolució
Paquets Wavelet Transform
La Directiva de contrast
Fusión de Imágenes
Análisis de multiresolución
Paquetes Wavelet Transform
La Directiva de contraste
Image Fusion
Multiresolution Analysis
Wavelet Packet Transform
Directive Contrast
Descrição
Resumo:For making an image, which is more suitable for segmentation, feature extraction, object recognition, and Human Visual System, image fusion is frequently used technique. It combines complimentary information from different images of the same scene in a single image. In this paper, a simple but efficient algorithm is presented for image fusion employed in wavelet packet domain. For fusion, all the source images are decomposed into low and high frequency sub-bands and then fusion of high frequency sub-bands is done by the means of Directive Contrast while for low frequency median values is used. To reconstruct the fused image, inverse wavelet packet transform is performed. The performance of the algorithm is carried out by the experimental evaluation and the comparison is carried out with the existing algorithms.