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A blur estimation and detection method for out-of-focus images

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Abstract

With the analysis of the features of image edge based on the defocused model of optical imaging system, a blur estimation and detection method for out-of-focus images is proposed. The essential idea is to estimate the parameter of the point spread function, which reflects the blurriness of image. Based on the notion, the proposed method estimates the parameter values by different straight edges in the image, and the parameter distribution is used to measure the image blurriness. Then it can determine whether an image is blurred or not by comparing with a predetermined threshold. Experiment results show that the proposed blur metric is highly correlated to subjective visual perception, and it can be implemented to estimate and detect the blurriness for out-of-focus images with different scenes.

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Acknowledgments

The authors would like to thank the accompaniers working with me in department of aerial, detective Laboratory of the optics and Electronics, Institute of Optics and Electronics, Chinese Academy of Sciences. Many thanks also to Karam, L. J. et al. for providing the software of JNBM [7] and CPBDM [20]. We also thank the anonymous reviewers whose comments led to substantial improvements in this manuscript.

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Authors and Affiliations

  1. Institute of Optics and Electronics of Chinese Academy of Sciences, Chengdu, Sichuan, China

    Yuzhen Hong, Guoqiang Ren, Enhai Liu & Jian Sun

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  1. Yuzhen Hong
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  2. Guoqiang Ren
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  3. Enhai Liu
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  4. Jian Sun
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Correspondence to Yuzhen Hong.

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Hong, Y., Ren, G., Liu, E. et al. A blur estimation and detection method for out-of-focus images. Multimed Tools Appl 75, 10807–10822 (2016). https://doi.org/10.1007/s11042-015-2792-1

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  • DOI: https://doi.org/10.1007/s11042-015-2792-1

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