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Demosaicking and zooming for color filter array via residual image reconstruction

Published: 30 December 2010 Publication History

Abstract

A novel strategy of demosaicking and zooming for Color Filter Array via residual image reconstruction is presented. The proposed scheme depends on certain demosaicking and zooming techniques. Given demosaicking and zooming methods, a residual image between 'genuine' image and the initial demosaicked and enlarged image is reconstructed using a dictionary and sparse coding. The 'genuine' image has richer edges and details than that of the initial result image. The dictionary is obtained by learning a training image set and sparse representation. Once the residual image is reconstructed, scaled version of it is added back to the initial result image to get final result. As R-G difference and B-G difference are smoother than individual channels, we search G channel, R-G difference and B-G difference instead of individual three channels. Considering implementation efficiency, only 'genuine' G channel is reconstructed using the proposed method, the demosaicked R-G difference and B-G difference are just zoomed with simple bicubic interpolation. The experiment results have demonstrated the state-of-the-art results in both visual perception and PSNR.

References

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K.-L. Chung et al. New joint demosaicking and zooming algorithm for color filter array, IEEE Transactions on Consumer electronics, 55 (3) (2009) 1477--1486.
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R. Lukac, K. N. Plataniotis, D. Hatzinakos. Color image zooming on Bayer pattern, IEEE Transactions on Circuits and Systems for Video Technology 15 (2005) 1475--1492.
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  1. Demosaicking and zooming for color filter array via residual image reconstruction

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        cover image ACM Other conferences
        ICIMCS '10: Proceedings of the Second International Conference on Internet Multimedia Computing and Service
        December 2010
        218 pages
        ISBN:9781450304603
        DOI:10.1145/1937728
        • General Chairs:
        • Yong Rui,
        • Klara Nahrstedt,
        • Xiaofei Xu,
        • Program Chairs:
        • Hongxun Yao,
        • Shuqiang Jiang,
        • Jian Cheng
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 30 December 2010

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        Author Tags

        1. demosaicking
        2. residual image reconstruction
        3. sparse representation
        4. zooming

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