Learning based Image Quality Assessment

Koduri, Manasa Priya (2015) Learning based Image Quality Assessment. Masters thesis, Indian Institute of Technology Hyderabad.

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Abstract

In this thesis, we present an abstract view of image quality assessment algorithms. Most of the research in the area of image quality assessment is focused on the scenario where the end-user is a human observer and therefore commonly known as perceptual image quality assessment. However, we believe that we should extend the field of image quality assessment to the task specific scenario where the end-user is not a human observer. The quality of image/video should be assessed based on the end-system/user that we call task-based image quality assessment. In this thesis, we discuss both perceptual image quality assessment and task-based image quality assessment with respect to face recognition task.

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IITH Creators:	IITH Creators ORCiD
Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Image Quality Assessment, Convolutional Neural Network(CNN), K-SVD, TD313
Subjects:	Others > Electronic imaging & Singal processing Physics > Electricity and electronics
Divisions:	Department of Electrical Engineering
Depositing User:	Library Staff
Date Deposited:	29 Jun 2015 10:31
Last Modified:	13 May 2019 11:16
URI:	http://raiithold.iith.ac.in/id/eprint/1605
Publisher URL:
Related URLs:	Google Scholar

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