Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
DEVELOPMENT OF AN ROI AWARE FULL-REFERENCE OBJECTIVE PERCEPTUAL QUALITY METRIC ON IMAGES OVER FADING CHANNEL
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In spite of technological advances in wireless systems, transmitted data suffers from impairments through both lossy source coding and transmission overerror prone channels. Due to these errors, the quality of multimedia content is degraded. The major challenge for service providers in this scenario is to measure the perceptual impact of distortions to provide certain Quality of Experience(QoE) to the end user. The general tendency of the Human Visual System (HVS) suggests that the artifacts in the Region-of-Interest (ROI) are perceived to be more annoying compared to the artifacts in Background (BG). With this assumption, the thesis aims to measure the quality of image over ROI and BG independently. Visual Information Fidelity (VIF), a full-reference image quality assessment is chosen for this purpose. Finally, the metric measured over ROI and BG are pooled to get a ROI aware metric. The ROI aware metric is used to predict the Mean Opinion Score (MOS) of an image. In this study, an ROI aware quality metric is used to measure the quality of a set of distorted images generated using a wireless channel. Eventually, MOS of the distorted images is estimated. Lastly, the predicted MOS is validated with the MOS obtained from subjective tests. Testing the proposed image quality assessment approach shows an improved prediction performance of ROI aware quality metric over traditional image quality metrics. It is also observed that the above approach provides a consistent improvement over a wide variety of distortions. After extensive research, the obtained results suggest that the impairments in the ROI are perceived to be more annoying than that of the BG.

Place, publisher, year, edition, pages
2016. , 52 p.
Keyword [en]
Visual Information Fidelity, Quality of Experience, Image, Full-Reference, Objective Perceptual Metrics, Region-of-Interest
National Category
Signal Processing Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:bth-13610OAI: oai:DiVA.org:bth-13610DiVA: diva2:1056477
Subject / course
ET2572 Master's Thesis (120 credits) in Electrical Engineering with emphasis on Radio communication
Educational program
ETARX Master of Science Programme in Electrical Engineering with emphasis on Radio Communication
Presentation
2016-09-30, karlskrona, 15:00 (English)
Supervisors
Examiners
Available from: 2016-12-19 Created: 2016-12-14 Last updated: 2016-12-19Bibliographically approved

Open Access in DiVA

BTH2016Gogineni(19230 kB)107 downloads
File information
File name FULLTEXT02.pdfFile size 19230 kBChecksum SHA-512
3c4b4fcf73fec3294ee1d3c9ec2a04969b02fd3660680ceb22b12d381bafa926a15f67eca886dd47134edbe5cda3b20b490c8310ebe3ee17e8ddc29459571234
Type fulltextMimetype application/pdf

By organisation
Department of Applied Signal Processing
Signal ProcessingOther Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 107 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 101 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf