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Volume: 29 | Article ID: art00011
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Color Interpolation Based on Colorization for RGB-White Color Filter Array
  DOI :  10.2352/ISSN.2470-1173.2017.13.IPAS-085  Published OnlineJanuary 2017
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.

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Paul Oh, Sukho Lee, Moon Gi Kang, "Color Interpolation Based on Colorization for RGB-White Color Filter Arrayin Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Processing: Algorithms and Systems XV,  2017,  pp 67 - 71,  https://doi.org/10.2352/ISSN.2470-1173.2017.13.IPAS-085

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