Journal of Information Processing Systems

  • 제16권6호
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  • Pages.1479-1494
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  • 2020
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  • 1976-913X(pISSN)
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  • 2092-805X(eISSN)
한국정보처리학회 (Korea Information Processing Society)
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Directional Interpolation Based on Improved Adaptive Residual Interpolation for Image Demosaicking

  • Liu, Chenbo (College of Engineering, Qufu Normal University (Rizhao Campus))
  • 투고 : 2019.11.12
  • 심사 : 2020.04.22
  • 발행 : 2020.12.31
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초록

As an important part of image processing, image demosaicking has been widely researched. It is especially necessary to propose an efficient interpolation algorithm with good visual quality and performance. To improve the limitations of residual interpolation (RI), based on RI algorithm, minimalized-Laplacian RI (MLRI), and iterative RI (IRI), this paper focuses on adaptive RI (ARI) and proposes an improved ARI (IARI) algorithm which obtains more distinct R, G, and B colors in the images. The proposed scheme fully considers the brightness information and edge information of the image. Since the ARI algorithm is not completely adaptive, IARI algorithm executes ARI algorithm twice on R and B components according to the directional difference, which surely achieves an adaptive algorithm for all color components. Experimental results show that the improved method has better performance than other four existing methods both in subjective assessment and objective assessment, especially in the complex edge area and color brightness recovery.

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참고문헌

  1. B. K. Gunturk, J. Glotzbach, Y. Altunbasak, R. W. Schafer, and R. M. Mersereau, "Demosaicking: Color filter array interpolation," IEEE Signal Processing Magazine, vol. 22, no. 1, pp. 44-54, 2005. https://doi.org/10.1109/MSP.2005.1407714
  2. B. E. Bayer, "Color imaging array," U.S. Patent 3971065, Jul. 20, 1976.
  3. P. Longere, X. Zhang, P. B. Delahunt, and D. H. Brainard, "Perceptual assessment of demosaicing algorithm performance," Proceedings of the IEEE, vol. 90, no. 1, pp. 123-132, 2002. https://doi.org/10.1109/5.982410
  4. B. K. Gunturk, Y. Altunbasak, and R. M. Mersereau, "Color plane interpolation using alternating projections," IEEE Transactions on Image Processing, vol. 11, no. 9, pp. 997-1013, 2002. https://doi.org/10.1109/TIP.2002.801121
  5. L. Zhang and X. Wu, "Color demosaicking via directional linear minimum mean square-error estimation," IEEE Transactions on Image Processing, vol. 14, no. 12, pp. 2167-2178, 2005. https://doi.org/10.1109/TIP.2005.857260
  6. I. Pekkucuksen and Y. Altunbasak, "Gradient based threshold free color filter array interpolation," in Proceedings of the IEEE International Conference on Image Processing, Hong Kong, China, 2010, pp. 137-140.
  7. D. Kiku, Y. Monno, M. Tanaka, and M. Okutomi, "Residual interpolation for color image demosaicking," in Proceedings of the IEEE International Conference on Image Processing, Melbourne, Australia, 2013, pp. 2304-2308.
  8. D. Kiku, Y. Monno, M. Tanaka, and M. Okutomi, "Minimized-Laplacian residual interpolation for color image demosaicking," in Proceedings of SPIE 9023: Digital Photography X. Bellingham, WA: International Society for Optics and Phtonics, 2014.
  9. W. Ye and K. K. Ma, "Color image demosaicing using iterative residual interpolation," IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5879-5891, 2015. https://doi.org/10.1109/TIP.2015.2482899
  10. Y. Kim and J. Jeong, "Four-direction residual interpolation for demosaicking," IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 5, pp. 881-890, 2016. https://doi.org/10.1109/TCSVT.2015.2428552
  11. K. Yu, C. Wang, S. Yang, Z. Lu, and D. Zhao, "An effective directional residual interpolation algorithm for color image demosaicking," Applied Sciences, vol. 8, no. 5, article no. 680, 2018.
  12. Y. Monno, D. Kiku, M. Tanaka, and M. Okutomi, "Adaptive residual interpolation for color and multispectral image demosaicking," Sensors, vol. 17, no. 12, article no. 2787, 2017.
  13. Z. Ni, K. K. Ma, H. Zeng, and B. Zhong, "Color image demosaicing using progressive collaborative representation," IEEE Transactions on Image Processing, vol. 29, pp. 4952-4964, 2020. https://doi.org/10.1109/tip.2020.2975978
  14. B. Sun, N. Yuan, and Z. Zhao, "A hybrid demosaicking algorithm for area scan industrial camera based on fuzzy edge strength and residual interpolation," IEEE Transactions on Industrial Informatics, vol. 16, no. 6, pp. 4038-4048, 2020. https://doi.org/10.1109/tii.2019.2959069
  15. K. He, J. Sun, and X. Tang, "Guided image filtering," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 6, pp. 1397-1409, 2013. https://doi.org/10.1109/TPAMI.2012.213
  16. J. F. Hamilton and J. E. Adams, "Adaptive color plane interpolation in single color electronic camera," U.S. Patent. 5629734, May 13, 1997.
  17. W. Ye and K. K. Ma, "Image demosaicing by using iterative residual interpolation," in Proceedings of the IEEE International Conference on Image Processing, Paris, France, 2014, pp. 1862-1866.
  18. X. Li, B. Gunturk, and L. Zhang, "Image demosaicing: A systematic survey," in Proceedings of SPIE 6822: Visual Communications and Image Processing. Bellingham, WA: International Society for Optics and Photonics, 2008.