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.
|Titolo:||Bayesian method application for color demosaicking|
ANISETTI, MARCO (Penultimo)
|Parole Chiave:||Bayesian approach; Taylor series; demosaicking; color channel; real-time process; maximum a posteriori|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
|Data di pubblicazione:||mag-2018|
|Digital Object Identifier (DOI):||10.1117/1.OE.57.5.053102|
|Appare nelle tipologie:||01 - Articolo su periodico|