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All-in-focus and multi-focus color image reconstruction from a database of color and depth image pairs

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Abstract

Owing to recent advances in depth sensors and computer vision algorithms, depth images are often available with co-registered color images. In this paper, we propose a simple but effective method for obtaining an all-in-focus (AIF) color image from a database of color and depth image pairs. Since the defocus blur is inherently depth-dependent, the color pixels are first grouped according to their depth values. The defocus blur parameters are then estimated using the amount of the defocus blur of the grouped pixels. Given a defocused color image and its estimated blur parameters, the AIF image is produced by adopting the conventional pixel-wise mapping technique. In addition, the availability of the depth image disambiguates the objects located far or near from the in-focus object and thus facilitates image refocusing. We demonstrate the effectiveness of the proposed algorithm using both synthetic and real color and depth images.

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Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT & Future Planning(NRF- 2014R1A1A2057970) and by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program (NIPA-2015-H0301-15-1021) supervised by the NIPA (National IT Industry Promotion Agency).

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Authors and Affiliations

  1. Department of Multimedia Engineering, Dongguk University, Pildong-ro 1gil, Jung-gu, Seoul, 100-715, South Korea

    Seung-Won Jung & Young-Sik Jeong

  2. Department of Computer Science and Engineering, Seoul National University of Science and Technology, Gongneung-ro, Nowon-gu, Seoul, 139-743, South Korea

    Jong Hyuk Park

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  1. Seung-Won Jung
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  2. Jong Hyuk Park
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  3. Young-Sik Jeong
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Correspondence to Jong Hyuk Park or Young-Sik Jeong.

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Jung, SW., Park, J.H. & Jeong, YS. All-in-focus and multi-focus color image reconstruction from a database of color and depth image pairs. Multimed Tools Appl 75, 15493–15507 (2016). https://doi.org/10.1007/s11042-015-2535-3

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  • DOI: https://doi.org/10.1007/s11042-015-2535-3

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