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.
S Vekot and P Shukla WCI 2015.pdf - Published Version
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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.
|Uncontrolled Keywords:||image fusion; wavelet|
|Subjects:||600 Technology > 620 Engineering & allied operations|
|Department:||School of Computing and Digital Media|
|Depositing User:||Dr Pancham Shukla|
|Date Deposited:||16 Jun 2016 08:24|
|Last Modified:||12 Oct 2016 09:20|
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