단일칩 RGB/NIR 이미지 센서의 주파수영역에서의 demosaicking
Frequency Domain Methods for Demosaicking of Single-Chip RGB/NIR Image Sensors
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초록
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.
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.
참고문헌 (13)
- X. Zhang, "Enhancing photographs with nearinfra-red images", Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp.1~8 (2008)
- 곽호영, "CT", MRI 영상에서의 이미지 추출-분석 시스템, 2014, pp.19(1), 131~140[DOI]
- 송천호, "고해상도 영상 획득을 위한 틸트 메커니즘 적용 기법", 한국컴퓨터정보학회논문지, 19(12), pp.31~37 (2014), 한국컴퓨터정보학회
- T. Shibata, "Visible and near-infrared image fusion based on visually salient area selection", Proc. of SPIE, 9404, pp.94040G-1-6~94040G-6 (2015)
- C. Fredembach, "Automatic and accurate shadow detection using near-infrared information", IEEE Trans. on Pattern Analysis and Machine Intelligence, 36(8), pp.1672~1678 (2014)
- Manual Martinello, "Dual Aperture Photography: Image and Depth from a Mobile Camera", Proc. of IEEE Int. Conf. on Computational Photography (ICCP) (2015)
- H. Teranaka, "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)
- Y. Monno, "N-to-sRGB Mapping for Single-Sensor Multispectral Imaging", Proc. of IEEE Int. Conf. on Computer Vision (ICCV) Workshop, pp.33~40 (2015)
- E. Dubois, "Frequency-domain methods for demosaicking of bayer-sampled color images", IEEE Signal Processing Letters, 12, pp.847~850 (2005)
- D. Alleysson, "Linear demosaicking inspired by the human visual system", IEEE Trans. Image Process, 14(4), pp.439~449 (2005)
- B. K. Gunturk, "Color plane interpolation using alternating projections", IEEE Trans. Image Process, 11(9), pp.997~1013 (2002)
- Huixuan Tang, "High Resolution Photography with an RGB-Infrared Camera", IEEE International Conference on Computational Photography( (ICCP) (2015)
- "Correlation-based Joint Acquisition and Demosaicing of Visible and Near-infrared Images"[URL]