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  • 學位論文

手機相機之影像穩定

Image Stabilization for Camera Phone

指導教授 : 傅楸善

摘要


防手震技術是為了減少或是避免因為手震所產生的模糊影像。此種技術能讓使用者更容易用相機照出好的照片。目前手機幾乎是人手一台,使用手機相機的人數眾多,使用者會在各種情況下利用手機相機拍照,而手震常常是造成照相品質不良的主因之一,所以這項技術已經成為目前手機相機需要具備的重要功能。 在這篇論文裡面,我們提出從四張影像合成出一張沒有手震影像的系統。利用降低曝光時間並且連續照出四張照片的方式,將四張照片合成,重建出一張亮度正常且為銳利的影像。由於此方法夠快且夠簡單因此能實做在一般的手機相機中。

並列摘要


Image stabilization aims to reduce the amount of image blur due to human handshake or even preventing the chances of a blur. This technique can allow people to take good pictures by camera phone easily. Because almost everyone owns a mobile phone today, many people use camera phone under various conditions. Handshake is one of the most important reasons to produce blurred image, so this technique has played an essential role in today’s camera phone design. In this thesis, we present a digital image stabilization algorithm for camera phone based on an image composition technique using four source images. The method is to take four images with lower exposure time and then combine these four pictures. This method can reduce the amount of image noise and compose a sharper image from four source images. This method is simple and fast enough to be used by general camera phone.

參考文獻


[1] A. Censi, A. Fusiello, and V. Roberto, “Image Stabilization by Features Tracking,” Proceedings of IEEE International Conference on Image Analysis and Processing, Venice, Italy, pp. 665-667, 1999.
[6] D. G. Lowe, “Distinctive Image Features from Scale-Invariant Keypoints,” International Journal of Computer Vision, Vol. 60, No. 2, pp. 91-110, 2004.
[16] Olympus, “Digital Image Stabilization,” http://www.olympusamerica.com/cpg_section/dismode.asp.
[18] R. C. Gonzalez, R. E. Woods, and S. L. Eddins, Digital Image Processing Using MATLAB, Prentice-Hall, Upper Saddle River, New Jersey, 2004.
[27] Wikipedia, “Singular Value Decomposition,” http://en.wikipedia.org/wiki/Singular_value_decomposition, 2007.

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