Image Quality Evaluation on Modified Bayer CFA

Gwang Gil Jeon

doi:10.4028/www.scientific.net/AMR.718-720.2050

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 718-720Image Quality Evaluation on Modified Bayer CFA

Image Quality Evaluation on Modified Bayer CFA

Abstract:

Almost all digital cameras adopt a color filter array to acquire images and requesting a demosaicking process of the sub-sampled color components to have the full color image. Thus, it is necessary to restore the CFA image correctly. Otherwise, perceptible color errors are presented. This paper proposes a color interpolation algorithm based on filter. The CFA we used is modified Bayer CFA. Simulation results show that the proposed method is effective and yield high performance in CPSNR and S-CIELAB.

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Periodical:

Advanced Materials Research (Volumes 718-720)

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2050-2054

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.718-720.2050

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Online since:

July 2013

Authors:

Gwang Gil Jeon

Keywords:

Image Quality, Modified Bayer CFA, Quality Assessment

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References

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