Hybridized KNN-Random Forest Algorithm: Image Demosaicing with Reduced Artifacts
Author:
Publisher
Springer Science and Business Media LLC
Subject
Engineering (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s40009-022-01165-z.pdf
Reference19 articles.
1. Bai C, Li J, Lin Z, Yu J (2016) Automatic design of color filter arrays in the frequency domain. IEEE Trans Image Process 25:1793–1807. https://doi.org/10.1109/TIP.2016.2531287
2. Kaluzny J, Li H, Liu W, Nesper P, Park J, Zhang HF, Fawzi AA (2016) Bayer filter snapshot hyperspectral fundus camera for human retinal imaging. Curr Eye Res 42:1–7. https://doi.org/10.1080/02713683.2016.1221976
3. Li X (2005) Demosaicing by successive approximation. IEEE Trans Image Process 14:370–379
4. Kwan C, Chou B, Bell JF III (2019) Comparison of deep learning and conventional demosaicing algorithms for Mastcam images. Electronics 8:308. https://doi.org/10.3390/electronics8030308
5. Chung KH, Chan YH (2006) Color demosaicing using variance of color differences. IEEE Trans Image Process 15:2944–2955. https://doi.org/10.1109/TIP.2006.877521
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