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Gyro-based Neural Single Image Deblurring
April 2, 2024, 7:48 p.m. | Heemin Yang, Jaesung Rim, Seung-Hwan Baek, Sunghyun Cho
cs.CV updates on arXiv.org arxiv.org
Abstract: In this paper, we present GyroDeblurNet, a novel single image deblurring method that utilizes a gyro sensor to effectively resolve the ill-posedness of image deblurring. The gyro sensor provides valuable information about camera motion during exposure time that can significantly improve deblurring quality. However, effectively exploiting real-world gyro data is challenging due to significant errors from various sources including sensor noise, the disparity between the positions of a camera module and a gyro sensor, the …
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