NDLI: Fuzzy based hand-shake compensation for image stabilization

Content Provider	IEEE Xplore Digital Library
Author	Yi-Ying Shih Shun-Feng Su Rudas, I.
Copyright Year	2012
Description	Author affiliation: Óbuda University, Budapest, Hungary (Rudas, I.) \|\| Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan (Yi-Ying Shih; Shun-Feng Su)
Abstract	The paper proposed a way of dealing with optical image stabilization in solving blurring images caused by hand shake. The idea is to determine the hand-shake situation and then to correct blurring image through position compensation. This method directly detects motion signals to distinguish the hand shake situations from normal camera movement. In the process, fuzzy rule mechanism is employed to have more accurate decision. If a hand-shake situation is determined, the corresponding correction signal is generated to correct the image in a real-time fashion. In order to demonstrate the effectiveness of the proposed approach, in our implementation, the system directly moves the camera mounted on an X-Y platform to compensate the hand shake effect. From our experiments, it is clearly evident that this method indeed can have better image quality. The average shake without using this method is 73.8 pixels, the average shake with this method is 33.4667 pixels, the average shake reduction is 40.333 pixels and the average percentage of shake reduction is 54.64%.
Starting Page	40
Ending Page	44
File Size	717264
Page Count	5
File Format	PDF
ISBN	9781467309448
e-ISBN	9781467309455
e-ISBN	9781467309431
DOI	10.1109/ICSSE.2012.6257145
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Digital Camera Optical imaging Educational institutions Adaptive optics Digital cameras Blurring image correction Optical sensors Lenses Optical image stabilization Hand-shaking
Content Type	Text
Resource Type	Article

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