NDLI: A New Comparison Method for Full Reference Image Quality Metric

Content Provider	IEEE Xplore Digital Library
Author	Yu Han Yunze Cai Xiaoming Xu
Copyright Year	2009
Abstract	Image quality assessment becomes more and more important with the development of image and video processing applications. Over the years, many new image quality metrics have emerged. It is important to evaluate performance of these quality metrics under the same conditions and analyze their strengths and weaknesses. In this paper, we first review others’ work, analyze the characteristics a good metrics should satisfy and propose a philosophy based upon our analysis. Then we design a new system which reflects metric’s characteristics by comparing curvature array of metric function and execute it to degraded image. 3 kinds of point-spread functions: Gaussian, motion and disk, and 3 kinds of noise: Gaussian noise, salt noise and uniform noise were considered in our experiment. Our experiment results have shows characteristics of metrics and exhibited some interesting conclusions. These conclusions might be helpful in designing a new image quality metric.
Starting Page	192
Ending Page	197
File Size	382722
Page Count	6
File Format	PDF
ISBN	9781424452002
DOI	10.1109/CSSim.2009.38
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-07
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Automation Computational modeling Humans Image quality assessment Image quality metric Image quality Degradation Gaussian noise Quality assessment Performance analysis Curvature Pixel Computational intelligence Degraded image
Content Type	Text
Resource Type	Article

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