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標題: 應用影像合成技術達到影像模糊補償
Blurred Image Compensation by Using Image Composition
作者: 林彥廷
Lin, Yen-Ting
關鍵字: Image stabilization system;影像穩定系統;camera shake;image blur;image composition;相機震動;影像模糊;影像合成
出版社: 電機工程學系所
引用: [1] Nikon Imaging, “Nikon Imaging | Vibration Reduction,”, 2006. [2] Panasonic, “Technology that LUMIX takes the shake out,”, 2005. [3] Wikipedia, “Gradient,”, 2006. [4] R. M. Haralick and L. G. Shapiro, Computer and Robot Vision, Vol. I, Addison Wesley, Reading, MA, 1992. [5] M.Oshima, et al., "VHS camcorder with electronic image stabilizer," IEEE Trans. on Consumer Electronics, vol. 35no.4,pp. 749-758, Nov. 1989. [6] K.Sato, et al., "Control techniques for optical image stabilizing system,"IEEE Trans. on Consumer Electronics, vol. 39,no. 3pp. 461-466, Aug, 1993. [7] Keller, J.,“Digital Camera Resource Page Review: Nikon Coolpix 8800, ” ,2004 [8] Nikon,“ Precise Camera-Shake Compensation at Every Angle VR (Vibration Reduction) System, ”, 2005. [9] Canon,“ Optical Shift Image Stabilizer,”,2008. [10] Konica Minolta,“Camera-shake correction of CCD shift type,”,2008 [11] Chen, J. F. and Fuh, C. S., “ Image stabilization with best shot selector and super resolution reconstruction, ” Proc. CVGIP, Taipei, Taiwan, Aug. 21-23, 2005. [12] Yuen, P., “Nikon Best Shot Selector TM,”, 2003 [13] Sheng-Che Hsu, Shung-Fu Liang, Chin-Teng Lin, "A robust digital image stabilization technique based on inverse triangel method and background detection," IEEE Transactions on Consumer Electronics, vol. 51 , no. 2, pp. 335-345, May 2005. [14] Lowe, D. G., “Distinctive image features from scale-invariant keypoints,” Int. J. of Computer Vision, vol. 60, no. 2, pp. 91-110, 2004. [15] Harris, C. and Stephens, M.,“A combined corner and edge detector,” Proc. of Alvey Vision Conf., Manchester, UK, pp. 147-151, 1988. [16] Lowe, D. G., “Method and Apparatus for Identifying Scale Invariant Features in an Image and Use of Same for Locating an Object in an Image,” United States Patent# 6711293, 2004. [17] Wikipedia, “Scale-Invariant Feature Transform,”, 2006. [18] Gonzalez, R. C., Woods, R. E. and Eddins, S. L., Digital Image Processing using MATLAB, Prentice-Hall, Upper Saddle River, New Jersey, 2004.

When a UAV is operating in the air, its payload system will take images of the terrains and targets on the ground. The images taken by the camera are often blurred due to the shake and pitching of the UAV, and this may cause the subsequent tasks such as target recognition and positioning, terrain identification, etc., which make use of these images, not be able to undertake. Image stabilization, also known as vibration reduction, is a photographic technology which helps prevent images from becoming blurred. It reduces vibration caused by camera shake, slow shutter speed, or when using a telephoto lens. In this paper, an effective image stabilization system, which can be used on the UAV, is developed. It adopts the digital stabilization based on image composition, in which the image processing techniques is used, to compensate for camera vibrations. This image stabilization system will much improve the quality of the blurred images. In general, the proposed method contains the following steps: 1) Detect the feature points on two consecutive images; 2) match the feature points; 3) rotate the images for alignment; 4) detect the feature points again; 5) match the feature points; and 6) compose the images to obtain a deblurred image. We have used real image data to perform experiments. The experimental results show that the proposed method is effective.
其他識別: U0005-1007200823063100
Appears in Collections:電機工程學系所

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