Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/7916
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,” http://nikonimaging.com/global/products/digitalcamera/coolpix/cppf/eng/vr_index.htm, 2006. [2] Panasonic, “Technology that LUMIX takes the shake out,” http://panasonic.co.jp/pavc/global/lumix/technology/index.html, 2005. [3] Wikipedia, “Gradient,” http://en.wikipedia.org/wiki/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, ” http://www.dcresource.com/reviews/nikon/coolpix8800-review/index.shtml. ,2004 [8] Nikon,“ Precise Camera-Shake Compensation at Every Angle VR (Vibration Reduction) System, ” http://nikon.co.jp/main/eng/portfolio/about/technology/nikon_technology/vr_e/index.htm, 2005. [9] Canon,“ Optical Shift Image Stabilizer,”http://www.canon.com/bctv/faq/optis.html,2008. [10] Konica Minolta,“Camera-shake correction of CCD shift type,” http://www.konicaminolta.com/about/research/core_technology/picture/antiblur.html,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,” http://digitalimaging.patyuen.com/shootout/Cp5kvg2/bss.htm, 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,” http://en.wikipedia.org/wiki/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.
摘要: 
當無人載具在飛行中,其酬載系統對地面的地形地物進行拍攝影像時,常會因載具震動或搖擺而造成所拍攝的影像模糊,進而使得其後續利用這些影像的模組如目標識別與定位、地形地物研判等任務無法順利進行。影像穩定也稱為震動減低,是一種幫助改善影像模糊的攝影技術,它可以減少因為相機震動、快門速度過慢、或使用望遠鏡頭等因素所造成的影像模糊。本文提出一種可應用於無人載具上有效的影像穩定系統,它採取影像合成之數位影像穩定系統,也就是使用影像處理的技術去補償影像之震動,以達到消除影像模糊的目的。整體來說,我們的方法包含下列步驟:1)先取兩張影像做特徵點偵測;2)特徵比對;3)兩張影像旋轉到相同座標系統;4)再做特徵點偵測;5)特徵比對;6)影像比例合成,最後得到清晰的結果影像。我們曾以實際的影像資料來進行實驗,實驗結果顯示所提的方法是有效的。

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.
URI: http://hdl.handle.net/11455/7916
其他識別: U0005-1007200823063100
Appears in Collections:電機工程學系所

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