Implementing Fast-Haar Wavelet transform on original Ikonos images to perform image fusion: qualitative assessment

Authors

Keywords:

Wavelet transform, image fusion, fast haar wavelet transform (FHWT), RGB-IHS transformation, mallat’s algorithm, IKONOS Images

Abstract


This article presents the Fast Haar Wavelet Transform (FHWT) algorithm applied to satellite-images fusion. FHWT is applied to both a multispectral image and a panchromatic Ikonos image using the digital image processing toolbox and wavelet toolbox provided by MatLab®. The results of the fusion are analyzed and evaluated quantitatively. Regarding the quantitative results of the fusion, first the mathematical-statistical correlation algorithm is used to analyze the spectral and spatial gain of the merged images. Next, the kappa coefficient is analyzed on three samples taken from the merged images, which are binarized in order to identify their spatial accuracy. It is shown that FHWT outperforms other predefined wavelets (namely rbio6.8, bior6.8, db7, dmey and haar) when merging the images. Moreover, merged images maintain the same spectral output as the original image, and also exhibit significant spatial resolution gain.

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Author Biographies

Rubén Javier Medina-Daza, Universidad Distritral Francisco José de Caldas

Profesor Asociado de tiempo completo adscrito a la Facultad de Ingeniería

Carlos Pinilla, Universidad de Jaén

Departamento de Ingeniería Cartográfica, Geodésica y Fotogrametría

 

Luis Joyanes Aguilar, Universidad Pontificia de Salamanca

Escuela Superior de Ingeniería y Arquitectura

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Published

2014-02-12

How to Cite

Medina-Daza, R. J., Pinilla, C., & Joyanes Aguilar, L. (2014). Implementing Fast-Haar Wavelet transform on original Ikonos images to perform image fusion: qualitative assessment. Revista Facultad De Ingeniería Universidad De Antioquia, 71(71), 72–84. Retrieved from https://revistas.udea.edu.co/index.php/ingenieria/article/view/15003
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