NDLI: A novel fuzzy based measure for color interpolation algorithms

Content Provider	IEEE Xplore Digital Library
Author	Chakraborty, P.S. Thakur, R.K. Pathak, A.
Copyright Year	2010
Description	Author affiliation: Department of Computer Science, NCR Campus, SRM University, Chennai, India (Chakraborty, P.S.; Pathak, A.) \|\| School of Computer Engineering, KIIT University Bhubaneswar, Bhubaneswar, India (Thakur, R.K.)
Abstract	The several different demosaicing or color interpolation methods are available to obtain the original image captured with a CFA (Color Filter Array). Use of any of these available methods need to be supported by an effectiveness measure of the algorithms for it to be useful. This paper proposes a fuzzy based measure to establish similarity measure for Color Interpolation algorithms. This similarity measure though adopted from feature similarity comparison, yields reasonable values which can be successfully employed for comparison of color interpolation algorithms. The experimental results at the end of the paper demonstrate the strengths and effectiveness of the proposed method. Though we have employed this method for comparing demosaicing algorithms, it can be very easily extended to other image processing applications as well. This measure is not aimed to replace any of the existing measures; rather it provides an alternative less computation intensive measure for demosaicing.
Starting Page	233
Ending Page	238
File Size	293381
Page Count	6
File Format	PDF
ISBN	9781424490073
e-ISBN	9781424490097
DOI	10.1109/TISC.2010.5714646
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-17
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Demosaicing Interpolation Color interpolation Laplace equations Image color analysis Image edge detection Cameras Fuzzy Pixel CFA
Content Type	Text
Resource Type	Article

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