9 May 2018 Bayesian method application for color demosaicking
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Abstract
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.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
Jin Wang, Jin Wang, Jiaji Wu, Jiaji Wu, Zhensen Wu, Zhensen Wu, Marco Anisetti, Marco Anisetti, Gwanggil Jeon, Gwanggil Jeon, "Bayesian method application for color demosaicking," Optical Engineering 57(5), 053102 (9 May 2018). https://doi.org/10.1117/1.OE.57.5.053102 . Submission: Received: 1 November 2017; Accepted: 4 April 2018
Received: 1 November 2017; Accepted: 4 April 2018; Published: 9 May 2018
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