Joint demosaicing and subpixel-based down-sampling for bayer images: A fast frequency-domain analysis approach

Lu Fang*, Oscar C. Au, Yan Chen, Aggelos K Katsaggelos, Hanli Wang, Xing Wen

*Corresponding author for this work

Research output: Contribution to journalArticle

12 Scopus citations

Abstract

A portable device such as a digital camera with a single sensor and Bayer color filter array (CFA) requires demosaicing to reconstruct a full color image. To display a high resolution image on a low resolution LCD screen of the portable device, it must be down-sampled. The two steps, demosaicing and down-sampling, influence each other. On one hand, the color artifacts introduced in demosaicing may be magnified when followed by down-sampling; on the other hand, the detail removed in the down-sampling cannot be recovered in the demosaicing. Therefore, it is very important to consider simultaneous demosaicing and down-sampling. In this paper, we propose a fast frequency-domain analysis approach for joint demosaicing and subpixel-based down-sampling (FFA-JDSD) of single sensor Bayer images. In FFA-JDSD, we integrate demosaicing into down-sampling by directly performing subpixel- based down-sampling in the Bayer domain, due to which the computational complexity is significantly reduced. We use a frequency domain analysis tool to show that the cut-off frequency of the low-pass filter for JDSD can be effectively extended beyond the Nyquist frequency, resulting in much sharper down-sampled images. Experimental results show that, compared with the methods that separately perform demosaicing and down-sampling, FFAJDSD has much less computational complexity, and can produce much sharper results at the expense of slight color fringing artifact.

Original languageEnglish (US)
Article number6171859
Pages (from-to)1359-1369
Number of pages11
JournalIEEE Transactions on Multimedia
Volume14
Issue number4 PART 2
DOIs
StatePublished - Jul 27 2012

Keywords

  • Demosaicking
  • down-sampling
  • subpixel rendering

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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