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7 March 2014 Image enhancement with blurred and noisy image pairs using a dual edge-preserving filtering technique
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Proceedings Volume 9020, Computational Imaging XII; 902003 (2014) https://doi.org/10.1117/12.2037561
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
Abstract
Taking a satisfactory image using a hand-held camera under dim lighting conditions is difficult because there is a tradeoff between exposure time and motion blur. If the image is taken with a short exposure time, the image is noisy, although it preserves sharp details. On the other hand, an image taken with a long exposure time suffers from motion blur but has good intensity. In this paper, we propose a two-image approach that adaptively combines a short-exposure image and a long-exposure image for the image stabilization function on digital cameras. Our method combines only the desirable properties of the two images to obtain a less-blurry and less-noisy image. Furthermore, the proposed approach uses a dual edge-preserving filtering technique for the edge areas of the long-exposure image, which are more affected by motion blur.
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Yuushi Toyoda, Hiroyasu Yoshikawa, and Masayoshi Shimizu "Image enhancement with blurred and noisy image pairs using a dual edge-preserving filtering technique", Proc. SPIE 9020, Computational Imaging XII, 902003 (7 March 2014); https://doi.org/10.1117/12.2037561
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