Abstract
This paper proposes a deblur algorithm using IMU sensor and long/short exposure-time image pair. First, we derive an initial blur kernel from gyro data of IMU sensor. Second, we refine the blur kernel by applying Lucas-Kanade algorithm to long/short exposure-time image pair. Using residual deconvolution based on the non-uniform blur kernel, we synthesize a final image. Experimental results show that the proposed algorithm is superior to the state-of-the-art methods in terms of subjective/objective visual quality.
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This work was supported by INHA UNIVERSITY Research Grant.
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© 2015 Springer International Publishing Switzerland
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Seo, S.J., Ryu, Hh., Choi, D., Song, B.C. (2015). Non-uniform Deblur Using Gyro Sensor and Long/Short Exposure Image Pair. In: Ho, YS., Sang, J., Ro, Y., Kim, J., Wu, F. (eds) Advances in Multimedia Information Processing -- PCM 2015. PCM 2015. Lecture Notes in Computer Science(), vol 9314. Springer, Cham. https://doi.org/10.1007/978-3-319-24075-6_3
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DOI: https://doi.org/10.1007/978-3-319-24075-6_3
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