Fuzzy Control based Compensator for Correcting Blurring Images Created by Hand-shaking.

• Main Authors: Yi-ying Shih, 施怡瑛
• Other Authors: Shun-Feng Su
• Format: Others
• Language: en_US
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/ayu4t4

碩士 === 國立臺灣科技大學 === 電機工程系 === 99 === This paper proposed an optical image stabilization methodology to solve blurring image problem created by hand-shake. The aim of this system is to determine hand-shake and correct the blurring image. This paper is based on Move Camera Module concept, and moreover, we also extended different correction methodologies. This method of the study makes us save the time of half-press the shutter and increases accuracy and precision. And then through fuzzy theory, we determine user's state and predicts whether hand-shaking signal or not. If there is the hand-shaking signal, as soon as, it outputs correction signals to correct the image in real-time. Successfully, this method can make image quality more blur insensitive. 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%.