A New Image Fusion Technique Based on Directive Contrast
Bhatnagar, Gaurav (Indian Institute of Technology Roorkee (Roorkee, Índia). Departmen of Mathematics)
Raman, Balasubramanian (Indian Institute of Technology Roorkee (Roorkee, Índia). Departmen of Mathematics)

Data:	2009
Resum:	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.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	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
Publicat a:	ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 8 n. 2 (2009) p. 18-38, ISSN 1577-5097

Adreça original: https://elcvia.cvc.uab.es/article/view/v8-n2-bhatnagar-raman
Adreça alternativa: https://raco.cat/index.php/ELCVIA/article/view/150155
DOI: 10.5565/rev/elcvia.287

21 p, 1.7 MB

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