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Gaussian Filter Based à-Trous Algorithm for Image Fusion

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)

Url : https://doi.org/10.1145/2791405.2791478

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.

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