FPGA Acceleration of Color Interpolation Algorithm Based on Gradient and Color Difference-Reference-Cited by-同舟云学术

FPGA Acceleration of Color Interpolation Algorithm Based on Gradient and Color Difference

Published:2020-04-20 Issue:1 Volume:21 Page:
ISSN:1557-2064
Container-title:Sensing and Imaging
language:en
Short-container-title:Sens Imaging

Author:

Pan Xiao-Ying,Li Chen-Chen,Hao Wang,Xue Yu-Feng

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Instrumentation

Link

https://link.springer.com/content/pdf/10.1007/s11220-020-00286-3.pdf

Reference21 articles.

1. Chung, K. L., Chien, W. C., Lee, Y. L., et al. (2019). Effective region-based chroma subsampling method for Bayer CFA images. Fourth international workshop on pattern recognition. International Society for Optics and Photonics, 11198, 1119802.

2. Chen, X., Jeon, G., Jeong, J., et al. (2014). Multi-directional weighted interpolation and refinement method for Bayer pattern CFA demosaicking. IEEE Transactions on Circuits and Systems for Video Technology, 2014, 1.

3. Buades, A., & Duran, J. (2018). CFA Bayer image sequence denoising and demosaicking chain.

4. Yang, B., & Wang, D. (2019). An efficient adaptive interpolation for Bayer CFA demosaicking. Sensing and Imaging, 20(1), 1–17.

5. Fossum, E. R., & Anzagira, L. (2019). Image sensor color filter array pattern: U.S. Patent 10,349,015[P]. 2019-7-9.

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