Image demosaicing using content and colour-correlation analysis

Shao, Ling and Ur Rehman, Amin (2014) Image demosaicing using content and colour-correlation analysis. Signal Processing, 103. pp. 84-91. ISSN 0165-1684

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Abstract

Most digital cameras of today use a single CCD image sensor with alternating arrangement of red, blue and green colour filters in what is known as a Bayer pattern. To extract a full colour image, a demosaicing strategy has to be applied. In this paper we propose a content adaptive demosaicing strategy utilising structure analysis and correlation between the red, green and blue planes. These two aspects are used for the classification of a block of pixels to generated trained filters. The proposed method aims to reconstruct a high quality demosaiced image from a Bayer pattern in a colour filter array efficiently. Experimental results show that the proposed strategy performs comparatively as more expensive methods.

Item Type:	Article
Uncontrolled Keywords:	Bayer pattern; Demosaicing; CFA array; RGB; Classification; Trained filter
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Related URLs:	Publisher
Depositing User:	Paul Burns
Date Deposited:	10 Jun 2015 13:15
Last Modified:	12 Oct 2019 22:30
URI:	http://nrl.northumbria.ac.uk/id/eprint/22824

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