https://scholars.lib.ntu.edu.tw/handle/123456789/607359
標題: | RGB-NIR Demosaicking Using a Two-Phase Primal-Dual Algorithm with a Laplacian Guided Image Filter Prior | 作者: | Duh W.-Y Lin Y.-H Lu Y.-C. YI-CHANG LU |
關鍵字: | Laplacian guided filters;Primal-dual algorithm;RGB-NIR demosaicking;Edge detection;Infrared devices;A-Laplacian;Demosaicking;Guided filters;Guided images;Image filters;Laplacian guided filter;Laplacians;Primal-dual algorithms;Two phase;Laplace transforms | 公開日期: | 2021 | 來源出版物: | 2021 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2021 | 摘要: | Demosaicking is a process to interpolate raw data subsampled by the color filter array into a full-resolution image. In this work, a new RGB-NIR demosaicking algorithm based on the primal-dual method is proposed. In the algorithm, we use total variance and guided image filters as the regularization terms, so that both flat and edge regions can be properly addressed. In addition, a two-phase optimization scheme is introduced to avoid problems caused by over-correlating the RGB and NIR channels. We also design an early-termination mechanism, which can stop iterations when it foresees the result could go wrong. As demonstrated in the paper, the proposed algorithm can preserve high frequency regions well while having chroma noises, halos, and artifacts effectively removed. ? 2021 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123794949&doi=10.1109%2fICCE-Asia53811.2021.9641958&partnerID=40&md5=f61cec8310ff4c8b6de2c42ab5a2db19 https://scholars.lib.ntu.edu.tw/handle/123456789/607359 |
DOI: | 10.1109/ICCE-Asia53811.2021.9641958 |
顯示於: | 電機工程學系 |
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