Journal
OPTICAL ENGINEERING
Volume 57, Issue 5, Pages -Publisher
SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
DOI: 10.1117/1.OE.57.5.053102
Keywords
Bayesian approach; Taylor series; demosaicking; color channel; real-time process; maximum a posteriori
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Funding
- Incheon National University (INU), Incheon, South Korea
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This study presents a Bayesian approach based on a color image demosaicking algorithm. The proposed method is composed of pointwise and patchwise measurements. The estimation of the missing pixel is formulated as a maximum a posteriori and a minimum energy function. By utilizing Bayesian theory and some prior knowledge, the missing color information is estimated with a statistics-based approach. Under the maximum a posteriori and Bayesian framework, the desired target image corresponds to the optimal reconstruction given the mosaicked image. Compared with existing demosaicking methods, the proposed algorithm improves the CPSNR, S-CIELAB, FSIM, and zipper effect measurements while maintaining high efficiency. Moreover, it handles Gaussian and Poisson noisy images better than other conventional images. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
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