Gibbs artifact reduction for POCS super-resolution image reconstruction (original) (raw)

Abstract

The topic of super-resolution image reconstruction has recently received considerable attention among the research community. Super-resolution image reconstruction methods attempt to create a single high-resolution image from a number of low-resolution images (or a video sequence). The method of projections onto convex sets (POCS) for super-resolution image reconstruction attracts many researchers’ attention. In this paper, we propose an improvement to reduce the amount of Gibbs artifacts presenting on the edges of the high-resolution image reconstructed by the POCS method. The proposed method weights the blur PSF centered at an edge pixel with an exponential function, and consequently decreases the coefficients of the PSF in the direction orthogonal to the edge. Experiment results show that the modification reduces effectively the visibility of Gibbs artifacts on edges and improves obviously the quality of the reconstructed high-resolution image.

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References

  1. Stark H, Oskoui P. High resolution image recovery from image-plane arrays, using convex projections. Journal of the Optical Society of America. A, 1989, 6: 1715–1726
    Article Google Scholar
  2. Patti A J, Sezan M I, Tekalp A M. Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture time. IEEE Transactions on Image Processing, 1997, 6(8): 1064–1076
    Article Google Scholar
  3. Eren P E, Sezan M I, Tekalp A M. Robust, object-based high-resolution image reconstruction from low-resolution video. IEEE Transactions on Image Processing, 1997, 6(10): 1446–1451
    Article Google Scholar
  4. Patti A J, Altunbasak Y. Artifact reduction for set theoretic super resolution image reconstruction with edge adaptive constraints and higher-order interpolants. IEEE Transactions on Image Processing, 2001, 10(1): 179–186
    Article Google Scholar
  5. Gevrekci M, Gunturk B K, Altunbasak Y. POCS-based restoration of Bayer-sampled image sequences. In: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Piscataway, NJ, USA, IEEE, 2007, 1: I-753–I-756
    Google Scholar
  6. Yu J, Xiao C, Su K. A method of Gibbs artifact reduction for POCS super-resolution image reconstruction. In: Proceedings of 8th International Conference on Signal Processing, ICSP 2006, IEEE, Piscataway, NJ, USA, IEEE, 2006, 2: 16–20
    Google Scholar
  7. Schultz R R, Stevenson R. L. Extraction of high-resolution frames from video sequences. IEEE Transactions on Image Processing, 1996, 5(6): 996–1011
    Article Google Scholar

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Authors and Affiliations

  1. College of Computer Science and Technology, Beijing University of Technology, Beijing, 100022, China
    Chuangbai Xiao, Jing Yu & Kaina Su

Authors

  1. Chuangbai Xiao
  2. Jing Yu
  3. Kaina Su

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Correspondence toJing Yu.

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Xiao, C., Yu, J. & Su, K. Gibbs artifact reduction for POCS super-resolution image reconstruction.Front. Comput. Sci. China 2, 87–93 (2008). https://doi.org/10.1007/s11704-008-0002-2

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