Demosaicking is a digital image process to reconstruct full color digital images from incomplete color samples from an image sensor. It is an unavoidable process for many devices incorporating camera sensor (e.g. mobile phones, tablet, etc.). In this paper, we introduce a new demosaicking algorithm based on polynomial interpolation-based demosaicking (PID). Our method makes three contributions: calculation of error predictors, edge classification based on color differences, and a refinement stage using a weighted sum strategy. Our new predictors are generated on the basis of on the polynomial interpolation, and can be used as a sound alternative to other predictors obtained by bilinear or Laplacian interpolation. In this paper we show how our predictors can be combined according to the proposed edge classifier. After populating three color channels, a refinement stage is applied to enhance the image quality and reduce demosaicking artifacts. Our experimental results show that the proposed method substantially improves over existing demosaicking methods in terms of objective performance (CPSNR, S-CIELAB E, and FSIM), and visual performance.
Bayer demosaicking with polynomial interpolation / J. Wu, M. Anisetti, W. Wu, E. Damiani, G. Jeon. - In: IEEE TRANSACTIONS ON IMAGE PROCESSING. - ISSN 1057-7149. - 25:11(2016 Nov), pp. 7556279.5369-7556279.5382.
|Titolo:||Bayer demosaicking with polynomial interpolation|
ANISETTI, MARCO (Secondo)
DAMIANI, ERNESTO (Penultimo)
|Parole Chiave:||color interpolation; Demosaicking; edge classifier; polynomial interpolation; software; medicine (all); computer graphics and computer-aided design|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
|Progetto:||Joint demosaicking and denoising in digital images|
|Data di pubblicazione:||nov-2016|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/TIP.2016.2604489|
|Appare nelle tipologie:||01 - Articolo su periodico|