Robust Automatic Focus Algorithm for Low Contrast Images Using a New Contrast Measure
AbstractLow 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.
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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.Chicago/Turabian Style
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.