Neural network based system for assessing image quality

E. Vicario, I.E.J. Heynderickx, P. Gastaldo, R. Zunino

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper presents a system that applies neural‐network technologies to image quality assessment. The work addresses the estimation of perceived quality when an enhancement algorithm is applied to a static image. Objective features describing the image feed the neural network, which mimics the human perception and yields the estimated rating.
Original languageEnglish
Title of host publicationSID03 DIGEST
Place of PublicationHoboken
PublisherWiley
ChapterP-19
Pages272-275
Number of pages4
DOIs
Publication statusPublished - 2003
Externally publishedYes

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