NDLI: Reduced-reference quality metric based on local sharpness measure for blurred images

Content Provider	IET Digital Library
Author	Lee, L. K. Yoon, Y. B. Kim, S. W.
Abstract	A simple yet robust reduced-reference quality metric based on local sharpness measure for blurred images in discrete cosine transform (DCT) domain is introduced. As a single feature to represent the quantification of blur in an image, a global image sharpness is quantified from the local sharpness with a selected optimal subset of DCT coefficients in each overlapped block in the feature extraction process. Then, the final objective quality score is simply calculated by division by the reference value in the quality analysis process. The experimental results on three public quality assessment databases demonstrate the proposed method correlates highly with human subjective judgements and outperform other methods consistently in terms of prediction accuracy and monotonicity for a wide range of blurriness.
Starting Page	1030
Ending Page	1032
Page Count	3
ISSN	00135194
Volume Number	54
e-ISSN	1350911X
Issue Number	Issue 17, Aug (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/54/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2018.5135
Journal	Electronics Letters
Publisher Date	2018-07-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Blurred Image Computer Vision And Image Processing Technique DCT Coefficient Discrete Cosine Transform Feature Extraction Feature Extraction Process Global Image Sharpness Image Enhancement Image Recognition Image Restoration Integral Transforms Local Sharpness Measure Objective Quality Score Public Quality Assessment Database Quality Analysis Process Robust Reduced-reference Quality Metric
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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