THE SECOND INTERNATIONAL CONFERENCE ON FORENSIC COMPUTER SCIENCE - ICoFCS 2007
Online ISBN: 978-85-65069-01-4, Print ISSN: 1980-1114, pp 32-39
DOI: 10.5769/C2007004 or http://dx.doi.org/10.5769/C2007004
Coefficient Selection Algorithm a Two Stages Image Fusion Method Based on Wavelet Transform
By Miguel Archanjo Bacellar Goes Telles Jr, Antonio Nuno de Castro Santa Rosa, and Paulo Quintiliano
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Image fusion consists of an advanced set of digital image processing techniques, which are used to combine images of different sensors. The main objective is to obtain a synthetic image that gathers the best qualities of each original image. This paper presents a new image fusion method based on selection of coefficients that takes into account the image fusion from sensors of either different or same satellites. The method is based on wavelet transform and multiresolution analysis. It separates fusion and resampling in different stages, allowing the use of different filters or bases of wavelet transform, in each one of them, in order to get better results. The advantage of the image fusion is to join the best spatial resolution of an image with spectral data of other image in a synthetic one. The results obtained with this method allow us to infer that the synthetic image produced has better spectral and spatial quality than IHS.
Image fusion, image processing, remote sensing, wavelets.
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