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Image Deblurring Using Vibration Information From 3-axis Accelerometer  

Park, Sang-Yong (WRG)
Park, Eun-Soo (School of Information Engineering, Inha Universtiy)
Kim, Hak-Il (School of Information Engineering, Inha Universtiy)
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Abstract
This paper proposes a real-time method using a 3-axis accelerometer to enhance blurred images taken from a camera loaded in mobile devices. Blurring phenomenon is a smoothing effect occurring in photo images. Algorithms to cope with blurring phenomenon is essential since small-size mobile devices tremble severely by even a tiny hand-shaking of a user. In this paper, accurate sensing characteristics of the 3-axis accelerometer is acquired by applying the sensor in pendulum motion and the blurring phenomenon is modeled as a uniform distribution and Gaussian distribution. Also, non-Gaussian distributed model is observed in the experiment of real blurring phenomenon and a particular deblurring function is designed by reversing the model. It has been demonstrated that the application of trembling information to the deblurring function adequately removes the blurring phenomenon.
Keywords
3-axis accelerometer; deblurring; uniform distribution; non-gaussian distribution; camera trembling;
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