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An adaptive rain streak removal algorithm for a single image is proposed in this work. We observe that a typical rain streak has an elongated elliptical shape with a vertical orientation. Thus, we first detect rain streak regions by analyzing the rotation angle and the aspect ratio of the elliptical kernel at each pixel location. We then perform the nonlocal means filtering on the detected rain streak regions by selecting nonlocal neighbor pixels and their weights adaptively. Experimental results demonstrate that the proposed algorithm removes rain streaks more efficiently and provides higher restored image qualities than conventional algorithms.
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Jin Hwan Kim
Kyung Hee University
Chul Lee
Dongguk University
Jae-Young Sim
Ulsan National Institute of Science and Technology
Pennsylvania State University
Korea University
Ulsan National Institute of Science and Technology
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Kim et al. (Sun,) studied this question.
synapsesocial.com/papers/6a10690301be78fe8160d621 — DOI: https://doi.org/10.1109/icip.2013.6738189