Abstract
Choosing one reliable and effective fusion method to determine fusion coefficients is the key of the image fusion. This text puts forwards a new algorithm based on discrete wavelet transform (DWT) and canny operator from the perspective of the edge detection. First make original images multi-scale decomposed using DWT, and then acquire the level, vertical as well as diagonal edge information by detecting low-frequency and high-frequency components’ edges. Whereafter carry out a comparison of the energy of each pixel and consistency verification to more accurately determine the edge points and ensure the clarity of the fusion image. The comparison between the traditional method and this new method is made from the three aspects: independent factors, united factors and comprehensive evaluation. The experiment proved the usefulness of the method, which is able to keep the edges and obtain better visual effect.
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Deng, A., Wu, J., Yang, S. (2011). An Image Fusion Algorithm Based on Discrete Wavelet Transform and Canny Operator. In: Lin, S., Huang, X. (eds) Advanced Research on Computer Education, Simulation and Modeling. CESM 2011. Communications in Computer and Information Science, vol 175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21783-8_6
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DOI: https://doi.org/10.1007/978-3-642-21783-8_6
Publisher Name: Springer, Berlin, Heidelberg
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