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Robust Automatic Focus Algorithm for Low Contrast Images Using a New Contrast Measure
Department of Computer Science and Engineering, Shanghai Jiao Tong University, NO. 800 Dongchuan Road, Shanghai 200240, China
School of Computer Science and Technology, Wuhan University of Science and Technology, NO. 947 Heping Road, Wuhan 430081, Hubei, China
* Author to whom correspondence should be addressed.
Received: 1 August 2011; in revised form: 23 August 2011 / Accepted: 24 August 2011 / Published: 25 August 2011
Abstract: Low contrast images, suffering from a lack of sharpness, are easily influenced by noise. As a result, many local false peaks may be generated in contrast measurements, making it difficult for the camera’s passive auto-focus system to perform its function of locating the focused peak. In this paper, a new passive auto-focus algorithm is proposed to address this problem. First, a noise reduction preprocessing is introduced to make our algorithm robust to both additive noise and multiplicative noise. Then, a new contrast measure is presented to bring in local false peaks, ensuring the presence of a well defined focused peak. In order to gauge the performance of our algorithm, a modified peak search algorithm is used in the experiments. The experimental results from an actual digital camera validate the effectiveness of our proposed algorithm.
Keywords: auto-focus; low contrast; contrast measure; noise reduction
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MDPI and ACS Style
Xu, X.; Wang, Y.; Tang, J.; Zhang, X.; Liu, X. Robust Automatic Focus Algorithm for Low Contrast Images Using a New Contrast Measure. Sensors 2011, 11, 8281-8294.
Xu X, Wang Y, Tang J, Zhang X, Liu X. Robust Automatic Focus Algorithm for Low Contrast Images Using a New Contrast Measure. Sensors. 2011; 11(9):8281-8294.
Xu, Xin; Wang, Yinglin; Tang, Jinshan; Zhang, Xiaolong; Liu, Xiaoming. 2011. "Robust Automatic Focus Algorithm for Low Contrast Images Using a New Contrast Measure." Sensors 11, no. 9: 8281-8294.