Innovative image fusion algorithm based on fast discrete curvelet transform with different fusion rules

Sapkal, R. J.; Kulkarni, Sunita M.

doi:10.1109/cict.2013.6558257

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Wavelet Transform Methods1

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“…The advantage offered by this approach is its tendency to favor of handle the temporal resolution [97]. Another significant advantage offered by DWT is that holds information of location together with the details of frequency factor.…”

Section: Wavelet Transform Methodsmentioning

confidence: 99%

Image Fusion Methods: A Survey

Masood¹,

Sharif²,

Yasmin³

et al. 2017

JESTR

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Image fusion is an approach which is used to amalgamate the corresponding features in a sequence of input images to a single composite image that preserves all the significant features of the input images. Image fusion is also known as pansharpening. It is a method which is used to integrate and add the geometric detail of a high-resolution panchromatic (Pan) image and the information of color of a low-resolution multispectral (MS) image for the production of a high-resolution MS image. This methodology is mainly most important and significant for any large-scale applications. Image fusion classification based on its systems (models and algorithms) are considered and overviewed in this survey. The basic two algorithms categories are analyzed and compared to each other, in the analysis and discussion section the major points to be considered while performing image fusion are highlighted.

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Section: Wavelet Transform Methodsmentioning

confidence: 99%