A robust auto-focus measure based on inner energy
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1. Key Laboratory of Computer Vision and System, Ministry of Education, School of Computer Science and Engineering,;Tianjin University of Technology, Tianjin 300384, China;2. China Three Gorges University, Yichang 443002, China

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    Abstract:

    This paper proposes a robust auto-focus (AF) measure based on inner energy. In general, the inner energy of noise pixels is close to zero because the magnitude of gradient and the direction of the noise pixels are random. Therefore, the inner energy can effectively eliminate the influence of noise on image quality assessment. But the gradients of near edge points are consistent with those of edge points, so the inner energy of edge pixels is relatively large, and the detail information of the image can be highlighted. Experimental results indicate that compared with traditional methods, the proposed method has higher accuracy, fewer local peaks, stronger robustness and better practicability. In particular, the evaluation results are close to the subjective evaluation of the human eyes. These results illustrate that the proposed method can be applied in automatic focusing. This work has been supported by the National Natural Science Foundation of China (Nos.U1509207 and 61325019). E-mail:weihuang@tjut.edu.cn

    Reference
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LI Yang, TANG Ting-long, HUANG Wei. A robust auto-focus measure based on inner energy[J]. Optoelectronics Letters,2017,13(4):309-313

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History
  • Received:March 08,2017
  • Revised:May 17,2017
  • Online: September 29,2017
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