Journal of the Institute of Electronics Engineers of Korea SC (전자공학회논문지SC)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Image Deblurring Using Vibration Information From 3-axis Accelerometer

3축 가속도 센서의 흔들림 정보를 이용한 영상의 Deblurring

  • Published : 2008.05.25
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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.

본 논문은 모바일 단말기에 탑재된 카메라를 이용하여 정지영상을 획득할 때 발생할 수 있는 blur현상을 3축 가속도 센서를 이용하여 실시간 보정 할 수 있는 방법을 제안한다. Blur현상은 획득한 이미지에서 발생하는 번짐 효과이다. 소형의 모바일 단말기는 사용자의 미세한 손 떨림에도 크게 흔들릴 수 있기 때문에 blur현상이 크게 나타나며, 이를 적절하게 보정할 수 있는 알고리즘이 필요하다. 본 논문에선 3축 가속도센서를 진자운동에 적용하여 출력결과의 신뢰성을 확보하였고, blur현상을 Uniform 분포와 Gaussian 분포로 모델링하였다. 실험을 통하여 실제 blur 현상이 Non-Gaussian 형태로 모델링됨을 확인하였고, 이 blur모델의 역과정인 deblurring 특성함수를 설계하였다. 이 특성함수에 3축 가속도센서에서 발생하는 미세한 떨림 정보를 적용하여 실험 이미지를 deblurring한 결과, 이미지 blur현상을 적절하게 보정할 수 있었다.

Keywords

References

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