期刊
IEEE TRANSACTIONS ON IMAGE PROCESSING
卷 25, 期 11, 页码 5369-5382出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIP.2016.2604489
关键词
Demosaicking; color interpolation; polynomial interpolation; edge classifier
资金
- National Natural Science Foundation of China [61377011, 61271330]
- Framework of International Cooperation Program [NRF-2016K1A3A1A25003543]
- Ministero degli Affari Esteri e della Cooperazione Internazionale of Italy [PGR00217]
- National Research Foundation of Korea [2015K1A3A7A08073804] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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, and so on). In this paper, we introduce a new demosaicking algorithm based on polynomial interpolation-based demosaicking. 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 the existing demosaicking methods in terms of objective performance (CPSNR, S-CIELAB Delta E*, and FSIM), and visual performance.
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