Abstract
Digital images often undergo through various processing and distortions which subsequently impacts the perceived image quality. Predicting image quality can be a crucial step to tune certain parameters for designing more effective acquisition, transmission, and storage multimedia systems. With the huge number of images captured and exchanged everyday, automatic prediction of image quality that correlates well with human judgment is steadily gaining increased importance. In this paper, we investigate the performance of three combinations of objective metrics for image quality prediction with an adaptive neuro-fuzzy inference system (ANFIS). Images are processed to extract various attributes which are then used to build a predictive model to estimate a differential mean opinion score for different types of distortions. Using a publicly available and subjectively rated image database, the proposed method is evaluated and compared to individual metrics and an existing technique based on correlation and error measures. The results prove that the proposed method can be a promising approach for predicting subjective quality of images.
Original language | English |
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Title of host publication | Agents and Artificial Intelligence - 6th International Conference, ICAART 2014, Revised Selected Papers |
Editors | Jaap van den Herik, Joaquim Filipe, Jaap van den Herik, Béatrice Duval, Stephane Loiseau, Joaquim Filipe, Béatrice Duval, Stephane Loiseau |
Publisher | Springer Verlag |
Pages | 296-311 |
Number of pages | 16 |
ISBN (Print) | 9783319252094, 9783319252094 |
DOIs | |
State | Published - 2015 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 8946 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Bibliographical note
Publisher Copyright:© Springer International Publishing Switzerland 2015.
Keywords
- ANFIS
- Adaptive neuro-fuzzy inference system
- Differential mean opinion score
- Human visual system
- Image quality assessment
- Objective assessment
- Subjective assessment
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science