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15 October 2012 Multifocus image fusion using Zernike moments
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Abstract
A multifocus image fusion method using orthogonal moments is presented. The focus measure is based in the compute of Zernike and Harmonic moments of an image function. The algorithm divides the input images into blocks and evaluate the contrast of each block. From this, the boundaries between focused and defocused regions have been determined. The method selects the better focused regions to create the final focused image. The method is based on orthogonal basis functions, which are used as moment weighting kernel. Fusion results show that, Zernike-Fourier moments can achieve a high quality fusion. However, Harmonics moments achieve a good fusion with a simple average of moments.
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C. Toxqui-Quitl, E. Velázquez-Ramírez, A. Padilla-Vivanco, J. Solís-Villarreal, and C. Santiago-Tepantlán "Multifocus image fusion using Zernike moments", Proc. SPIE 8499, Applications of Digital Image Processing XXXV, 849921 (15 October 2012); https://doi.org/10.1117/12.930329
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