An Efficient Adaptive Filtering for CFA Demosaicking

Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 4

Abstract

Most digital still cameras acquire imagery with a color filter array (CFA), ampling only one color value for each pixel and interpolating the other two color values afterwards. The nterpolation process is commonly known as demosaicking. In general, a good demosaicking method should preserve the highfrequency information of imagery as much as possible, ince such nformation is essential for image visual quality. We discuss in this paper two key observations for preserving igh-frequency information in CFA emosaicking: 1) the high frequencies are similar across three color omponents, and 2) the high frequencies along the horizontal and vertical axes are essential for image quality. Our frequency analysis of CFA mples indicates that filtering a CFA image can better preserve high frequencies than filtering each color component parately. This motivates us to design an efficient filter for stimating the luminance at green pixels of the CFA image and devise an adaptive filtering approach to estimate the minance t red and blue pixels. Experimental results on imulated ages, as well as raw data, verify that the proposed method tperforms the existing methods both visually and in terms of eak signal- onoise ratio, at a notably lower mputational cost

Authors and Affiliations

Dev. R. Newlin , Elwin Chandra Monie

Keywords

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  • EP ID EP139717
  • DOI -
  • Views 96
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How To Cite

Dev. R. Newlin, Elwin Chandra Monie (2010). An Efficient Adaptive Filtering for CFA Demosaicking. International Journal on Computer Science and Engineering, 2(4), 954-958. https://europub.co.uk/articles/-A-139717