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| Content Provider | IET Digital Library |
|---|---|
| Author | Moićević, Sanja Maksimović Lukač, Željko Temerinac, Miodrag |
| Abstract | Objective evaluation of a subjective image quality assessment plays a significant role in the various image processing applications, such as compression, interpolation and noise reduction. The subjective image quality assessment does not only depend on some objective measurable artefacts, but also on image content and kind of distortions. Thus, a multi-parameter prediction of the objective image quality assessment is proposed in this study. The prediction parameters are found minimising the mean square error related to the known subjective image quality measure (DMOS). This approach includes mostly used image quality metrics (peak signal-to-noise ratio, multi-scale structural similarity image measure, feature similarity image measure, video quality measure) and two-dimensional image quality metrics (2D IQM). The proposed multi-parameter prediction has been verified on the test image database (LIVE) for compression, noise and blur distortions with available subjective image quality measures (DMOS). More reliable estimations are obtained using multi-parameter prediction instead of only one measure. The best results are reached when an image content indicator is combined with the 2D IQM measure separately for different kinds of distortions. |
| Starting Page | 2428 |
| Ending Page | 2435 |
| Page Count | 8 |
| ISSN | 17519659 |
| Volume Number | 13 |
| e-ISSN | 17519667 |
| Issue Number | Issue 13, Nov (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/13/13 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.6143 |
| Journal | IET Image Processing |
| Publisher Date | 2019-07-09 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Available Subjective Image Quality Measures Computer Vision And Image Processing Technique Data Compression Distortion Feature Extraction Feature Similarity Image Measure Image And Video Coding Image Coding Image Content Indicator Image Fusion Image Processing Image Processing Application Interpolation And Function Approximation Known Subjective Image Quality Measure Mean Square Error Method Multiparameter Prediction Multiscale Structural Similarity Image Measure Numerical Analysis Objective Image Quality Assessment Objective Measurable Artefacts Optical, Image And Video Signal Processing Spatial And Pictorial Database Statistics Subjective Image Quality Assessment Test Image Database Two-dimensional Image Quality Metrics Video Quality Measure Visual Database |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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