Literature DB >> 21257377

Least-squares luma-chroma demultiplexing algorithm for Bayer demosaicking.

Brian Leung1, Gwanggil Jeon, Eric Dubois.   

Abstract

This paper addresses the problem of interpolating missing color components at the output of a Bayer color filter array (CFA), a process known as demosaicking. A luma-chroma demultiplexing algorithm is presented in detail, using a least-squares design methodology for the required bandpass filters. A systematic study of objective demosaicking performance and system complexity is carried out, and several system configurations are recommended. The method is compared with other benchmark algorithms in terms of CPSNR and S-CIELAB ∆E∗ objective quality measures and demosaicking speed. It was found to provide excellent performance and the best quality-speed tradeoff among the methods studied.

Year:  2011        PMID: 21257377     DOI: 10.1109/TIP.2011.2107524

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  2 in total

1.  New diagonal micropolarizer arrays designed by an improved model in fourier domain.

Authors:  Jia Hao; Yan Wang; Kui Zhou; Xiaochang Yu; Yiting Yu
Journal:  Sci Rep       Date:  2021-03-11       Impact factor: 4.379

2.  Adaptive Residual Interpolation for Color and Multispectral Image Demosaicking.

Authors:  Yusuke Monno; Daisuke Kiku; Masayuki Tanaka; Masatoshi Okutomi
Journal:  Sensors (Basel)       Date:  2017-12-01       Impact factor: 3.576

  2 in total

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