ISSN: 0973-7510

E-ISSN: 2581-690X

D.R. Ramji1 and K. Parimala Geeetha2
1Electronics and Communication Engineering Department, Narayanaguru College of Engineering, Manjalumoodu, Kanyakumari District,629151, Tamil Nadu, India.
2Electronics and Communication Engineering Department, Ponjesly College of Engineering, Nagercoil, Kanyakumari District, 629003, Tamil Nadu, India.
J Pure Appl Microbiol. 2015;9(Spl. Edn. Aug.):209-214
© The Author(s). 2015
Received: 02/02/2015 | Accepted: 10/05/2015 | Published: 31/08/2015
Abstract

In Photography, a Color Filter Array (CFA), or Color Filter Mosaic (CFM), is a periodic Array of small color filters placed over the pixel sensors of an image sensor to capture color information. To capture image from Small electronic handheld device, single sensor CFA array technique is used.   Extraction process of color component Red, Green and Blue from the output of single sensor CFA raw data called Demosaicing. The extraction of good quality image from CFA with color artifact is a challenging task. The color artifacts like Edge blurring, Zipper Effect, Aliasing and False coloring are the major artifacts (noise) arise at the time of Demosaicing. This paper presents, design of optimal sampling patten and demosaicing algorithm to extract good color component from noisy CFA data source. Result show that our method yield good result in terms of PSNR values and Human Visual System HVS with state-of-the-art of other recent works.

Keywords

Color Filter Array(CFA), Demosaicing, Artifacts, Edge blurring and PSNR

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