A Survey of No-Reference No-Training Based Image Quality Assessment Techniques

Piyush Joshi
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Piyush Joshi: Indian institute of Technology Indore, India

Biostatistics and Biometrics Open Access Journal, 2017, vol. 2, issue 3, 66-67

Abstract: Image quality can be defined as a measure to quantitatively estimate the perceptual quality of an image. The techniques available in the literature for image quality assessment (IQA) can be broadly divided into three categories: full reference (FR) based, reduced-reference (RR) based and no-reference (NR) based. In most of the practical applications, reference image of the distorted image is not available and hence NR based image quality estimation is the only possible way to estimate image quality.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:2:y:2017:i:3:p:66-67

DOI: 10.19080/BBOAJ.2017.02.555589

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