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...
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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 |
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