Gaussian filter based à-trous algorithm for image fusion

Vekkot, Susmitha and Shukla, Pancham (2015) Gaussian filter based à-trous algorithm for image fusion. Proceedings of the Third International Symposium on Women in Computing and Informatics. pp. 330-334.

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Abstract / Description

Image fusion integrates complementary information from various perspectives in order to provide a meaningful interpretation of useful features and textures in multisource images. Here, we present a multiresolution algorithm based on Stationary Wavelet Transform for fusion of two test images of same size. The algorithm uses a Gaussian low-pass filtering technique for the high frequency subbands of SWT decomposition. The new approach gave sharper edges and structural enhancement than region based approaches involving calculation of energy around salient features. The key feature of Gaussian filtering is the flexibility of using filters with different values for standard deviation depending on the application and the range of detail necessary for processing.

Item Type:	Article
Uncontrolled Keywords:	image fusion; wavelet
Subjects:	600 Technology > 620 Engineering & allied operations
Department:	School of Computing and Digital Media
Depositing User:	Panchamkumar Shukla
Date Deposited:	16 Jun 2016 08:24
Last Modified:	08 Jun 2018 10:49
URI:	https://repository.londonmet.ac.uk/id/eprint/1009

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