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Descripción
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| Image fusion can be understood as the synergetic combination of information provided from several sensors or by the same sensor in different scenarios. The decrease of redundant information, while emphasizing relevant information, not only improves image-processing performance but it also facilitates their analysis and interpretation. In the last decade, the most used image fusion strategies were based on multi-resolution analysis techniques. Their objective was to find a discrete transform that minimizes the intrinsic uncertainty associated to the joint representation of information. From this point of view, the Discrete Wavelet Transform (DWT) can be considered as the most popular approximation Garguet-Duport et al. (1996). | |
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Internacional
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Si |
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DOI
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Edición del Libro
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Editorial del Libro
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ISBN
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978-953-307-483-2 |
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Serie
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Título del Libro
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Search Algorithms |
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Desde página
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117 |
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Hasta página
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132 |