A Fuzzy Relational Classifier Based Image Quality Assessment Method

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Author(s): Indrajit De (MCKV Institute of Engineering, India)
Copyright: 2017
Pages: 19
Source title: Intelligent Analysis of Multimedia Information
Source Author(s)/Editor(s): Siddhartha Bhattacharyya (RCC Institute of Information Technology, India), Hrishikesh Bhaumik (RCC Institute of Information Technology, India), Sourav De (The University of Burdwan, India)and Goran Klepac (University College for Applied Computer Engineering Algebra, Croatia & Raiffeisenbank Austria, Croatia)
DOI: 10.4018/978-1-5225-0498-6.ch009

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference / Multimedia Technology

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Abstract

Fuzzy classification techniques are used for image classification for quite a long time back by allowing pixels to have membership in more than one class. However, handling information at the pixel level is time consuming and there is a high chance of biased assessment of images if class labels are assigned by a single human observer. Even considering multiple observers' opinions don't able to reflect an individual's perception in assessing quality of images, if it is crisp. In this chapter, the fuzzy relational classifier (FRC) is used to assess quality of images distorted by information loss or noise, unlike the earlier methods where images are preprocessed to remove the noise before classification.

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A Fuzzy Relational Classifier Based Image Quality Assessment Method

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