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Publication Type : Conference Proceedings
Publisher : Association for Computing Machinery, New York
Source : Proceedings of the Third International Symposium on Women in Computing and Informatics, Association for Computing Machinery, New York, NY, USA (2015)
ISBN : 9781450333610
Campus : Bengaluru
School : School of Engineering
Department : Electronics and Communication
Year : 2015
Abstract : 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.
Cite this Research Publication : Susmitha Vekkot and Shukla, P., “Gaussian Filter Based à-Trous Algorithm for Image Fusion”, Proceedings of the Third International Symposium on Women in Computing and Informatics. Association for Computing Machinery, New York, NY, USA, 2015.