Image Averaging Using a Modified LMS Adaptive Algorithm |
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| Authors: | M.M. Hadhoud D.W. Thomas |
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| Affiliation: | 1. Faculty of Electronic Engineering , Menoufia University , Menouf, Egypt;2. Department of Electronics and Computer Science , The University , Southampton, England |
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| Abstract: | Abstract In a previous paper [5], a new two-dimensional LMS(TDLMS) algorithm has been proposed for image averaging. The algorithm improved results over direct averaging without the need for any image alignment or any correlation operation. In this paper, we propose a more simplified adaptive LMS algorithm for image averaging, where the averaging process results in fewer computations. Also, the increase in computations, as a result of the increase in relative shift between input images, is now proportional to N where previously it was proportional to N 2, N being the filter window dimension. The results presented in this paper compare the two methods as well as the direct averaging method. The results show that the simplification does not affect the output result greatly and that the adaptive averager compensates for the relative shift between images in the same way as the TDLMS adaptive averager. |
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