Full Reference Image Quality Metrics and their Performance
This paper mainly aims to study the performance of objective assessment methods of image quality. It take into consideration the correlations between each objective assessment and the subjective assessment in order to determine objective test performance. Three objective assessment methods used...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2011
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/17808/ http://ir.unimas.my/id/eprint/17808/1/Full%20Reference%20Image%20Quality%20Metrics%20and%20their%20PERFORMANCE%20%28abstract%29.pdf |
| Summary: | This paper mainly aims to study the performance of
objective assessment methods of image quality. It take into
consideration the correlations between each objective
assessment and the subjective assessment in order to determine
objective test performance. Three objective assessment methods
used in this study are the Structural Similarity (SSIM) index, the
Peak Signal-to-Noise Ratio (PSNR) and the Mean Squared
Error (MSE) calculating algorithm. The resulting data indicate
what type of objective assessment was most suitable for which
type of impairment imposed upon an image. This is clarified
using the Pearson Correlation Coefficient as described in the
paper. As an overall, SSIM index had the best correlation
characteristics to the subjective assessment, followed by the
MSE calculating algorithm. From this study, a better
understanding of the requirements for developing an efficient
image quality assessment method was gained. |
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