Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
권호 표지
DOI QR코드

DOI QR Code

Frequency Domain Methods for Demosaicking of Single-Chip RGB/NIR Image Sensors

  • Received : 2017.09.06
  • Accepted : 2017.10.30
  • Published : 2017.11.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, We proposed an effective demosaicking method for single chip RGB-NIR sensors to recover RGB and NIR images. As the method operates in the spatial frequency domain, the frequency domain characteristics of the sampled CFA data are investigated. Using the luminance signal in the frequency domain and the chrominance signals are processed separately with different filters. The simulated images using the real images are compared with other state-of-art methods. As a result, the proposed demosaicking method resulted an effective calculation by a single processing which the existing alternating projection method requires repeated calculation.

Keywords

References

  1. X. Zhang, T. Sim, and X. Miao, "Enhancing photographs with nearinfra-red images," Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 1-8, 2008.
  2. Ho-Young Kwak, Jisoon Huh, "Extract and Analysis System for CT/MRI Images," Journal of the Korea Society of Computer and Information, Vol. 19, No. 1, pp. 131-140, 2014. https://doi.org/10.9708/jksci.2014.19.1.131
  3. Chun-Ho Song, "Applying tilt mechanism for high-resolution image acquisition," Journal of the Korea Society of Computer and Information, Vol. 19, No. 12, pp. 31-37, 2014. https://doi.org/10.9708/jksci.2014.19.12.031
  4. T. Shibata, M. Tanaka, and M. Okutomi, "Visible and near-infrared image fusion based on visually salient area selection," Proc. of SPIE, Vol. 9404, pp. 94040G-1-6, 2015.
  5. C. Fredembach, D. Rufenache and S. Susstrunk, "Automatic and accurate shadow detection using near-infrared information," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 36, No. 8, pp. 1672-1678, August. 2014. https://doi.org/10.1109/TPAMI.2013.229
  6. Manual Martinello, Andrew Wajs, et al., "Dual Aperture Photography: Image and Depth from a Mobile Camera," Proc. of IEEE Int. Conf. on Computational Photography (ICCP), April, 2015.
  7. H. Teranaka, Y. Monno, M. Tanaka and M. Okutomi, "Single-Sensor RGB and NIR Image Acquisition: Toward Optimal Performance by Taking Account of CFA Pattern, Demosaicking and Color Correction," Int. Symposium on Electronic Imaging, Digital Photography and Mobile Imaging Xii, pp. 1-6, 2016.
  8. Y. Monno, M.Tanake, and M. Okutomi, "N-to-sRGB Mapping for Single-Sensor Multispectral Imaging," Proc. of IEEE Int. Conf. on Computer Vision (ICCV) Workshop, pp. 33-40, 2015.
  9. E. Dubois, "Frequency-domain methods for demosaicking of bayer-sampled color images," IEEE Signal Processing Letters 12, pp. 847-850, Dec. 2005. https://doi.org/10.1109/LSP.2005.859503
  10. D. Alleysson, S. Susstrunk, and J. Herault, "Linear demosaicking inspired by the human visual system," IEEE Trans. Image Process, Vol. 14, No. 4, pp. 439-449, Apr. 2005. https://doi.org/10.1109/TIP.2004.841200
  11. B. K. Gunturk, Y. Altunbasak, and R. M. Mersereau, "Color plane interpolation using alternating projections," IEEE Trans. Image Process. Vol. 11, No. 9, pp. 997-1013, Sep. 2002. https://doi.org/10.1109/TIP.2002.801121
  12. Huixuan Tang, Xiaopeng Zhang, Shaojie Zhuo, Feng Chen, Kiriakos N. Kutulakos, Liang Shen, "High Resolution Photography with an RGB-Infrared Camera," IEEE International Conference on Computational Photography( (ICCP), 2015.
  13. Correlation-based Joint Acquisition and Demosaicing of Visible and Near-infrared Images, http://ivrlwww.epfl.ch/supplementary_material/SLS_ICIP2011/indes.html