Color interpolation based on colorization for RGB-white color filter array

Paul Oh, Sukho Lee, Moon Gi Kang

Research output: Contribution to journalConference articlepeer-review

Abstract

Recently, RGB-White(RGBW) sensors have been developed to take advantages of high-sensitive white(W) channel. Especially in the low light condition, the W channel has better SNR (Signal to Noise Ratio) characteristics than other color channels. In this paper, a new color interpolation method for the RGBW sensor is proposed. To make the best use of the high-sensitive W channel, we use a random pattern RGBW Color Filter Array(CFA). The most of pixels in the CFA sample the W channel values, when a small number of pixels sample the R, G, and B channel values respectively. At the initial step, missing W channel values in positions of pixels which sample the R, G, and B channel are estimated by edge adaptive scheme. After that, the color difference channels, i.e., R-W, G-W, and B-W, are estimated by the scheme of colorization. Experimental results show that the proposed algorithm performs better than the results from Bayer CFA in terms of SNR and object discrimination.

Original languageEnglish
Article numbers11
Pages (from-to)67-71
Number of pages5
JournalIS and T International Symposium on Electronic Imaging Science and Technology
DOIs
Publication statusPublished - 2017
EventImage Processing: Algorithms and Systems XV, IPAS 2017 - Burlingame, United States
Duration: 2017 Jan 292017 Feb 2

Bibliographical note

Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT and future Planning (No. 2015R1A2A1A14000912)

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Human-Computer Interaction
  • Software
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics

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