An Improved SPSIM Index for Image Quality Assessment

Objective image quality assessment (IQA) measures are playing an increasingly important role in the evaluation of digital image quality. New IQA indices are expected to be strongly correlated with subjective observer evaluations expressed by Mean Opinion Score (MOS) or Difference Mean Opinion Score...

Full description

Bibliographic Details
Main Authors: Mariusz Frackiewicz, Grzegorz Szolc, Henryk Palus
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/13/3/518
id doaj-2c468567383946b484983648649f6164
record_format Article
spelling doaj-2c468567383946b484983648649f61642021-03-23T00:03:49ZengMDPI AGSymmetry2073-89942021-03-011351851810.3390/sym13030518An Improved SPSIM Index for Image Quality AssessmentMariusz Frackiewicz0Grzegorz Szolc1Henryk Palus2Department of Data Science and Engineering, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, PolandDepartment of Data Science and Engineering, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, PolandDepartment of Data Science and Engineering, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, PolandObjective image quality assessment (IQA) measures are playing an increasingly important role in the evaluation of digital image quality. New IQA indices are expected to be strongly correlated with subjective observer evaluations expressed by Mean Opinion Score (MOS) or Difference Mean Opinion Score (DMOS). One such recently proposed index is the SuperPixel-based SIMilarity (SPSIM) index, which uses superpixel patches instead of a rectangular pixel grid. The authors of this paper have proposed three modifications to the SPSIM index. For this purpose, the color space used by SPSIM was changed and the way SPSIM determines similarity maps was modified using methods derived from an algorithm for computing the Mean Deviation Similarity Index (MDSI). The third modification was a combination of the first two. These three new quality indices were used in the assessment process. The experimental results obtained for many color images from five image databases demonstrated the advantages of the proposed SPSIM modifications.https://www.mdpi.com/2073-8994/13/3/518image quality assessmentimage databasessuperpixelscolor imagecolor spaceimage quality measures
collection DOAJ
language English
format Article
sources DOAJ
author Mariusz Frackiewicz
Grzegorz Szolc
Henryk Palus
spellingShingle Mariusz Frackiewicz
Grzegorz Szolc
Henryk Palus
An Improved SPSIM Index for Image Quality Assessment
Symmetry
image quality assessment
image databases
superpixels
color image
color space
image quality measures
author_facet Mariusz Frackiewicz
Grzegorz Szolc
Henryk Palus
author_sort Mariusz Frackiewicz
title An Improved SPSIM Index for Image Quality Assessment
title_short An Improved SPSIM Index for Image Quality Assessment
title_full An Improved SPSIM Index for Image Quality Assessment
title_fullStr An Improved SPSIM Index for Image Quality Assessment
title_full_unstemmed An Improved SPSIM Index for Image Quality Assessment
title_sort improved spsim index for image quality assessment
publisher MDPI AG
series Symmetry
issn 2073-8994
publishDate 2021-03-01
description Objective image quality assessment (IQA) measures are playing an increasingly important role in the evaluation of digital image quality. New IQA indices are expected to be strongly correlated with subjective observer evaluations expressed by Mean Opinion Score (MOS) or Difference Mean Opinion Score (DMOS). One such recently proposed index is the SuperPixel-based SIMilarity (SPSIM) index, which uses superpixel patches instead of a rectangular pixel grid. The authors of this paper have proposed three modifications to the SPSIM index. For this purpose, the color space used by SPSIM was changed and the way SPSIM determines similarity maps was modified using methods derived from an algorithm for computing the Mean Deviation Similarity Index (MDSI). The third modification was a combination of the first two. These three new quality indices were used in the assessment process. The experimental results obtained for many color images from five image databases demonstrated the advantages of the proposed SPSIM modifications.
topic image quality assessment
image databases
superpixels
color image
color space
image quality measures
url https://www.mdpi.com/2073-8994/13/3/518
work_keys_str_mv AT mariuszfrackiewicz animprovedspsimindexforimagequalityassessment
AT grzegorzszolc animprovedspsimindexforimagequalityassessment
AT henrykpalus animprovedspsimindexforimagequalityassessment
AT mariuszfrackiewicz improvedspsimindexforimagequalityassessment
AT grzegorzszolc improvedspsimindexforimagequalityassessment
AT henrykpalus improvedspsimindexforimagequalityassessment
_version_ 1724206987565072384