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231224s2015 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2015.2481319
|2 doi
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|a pubmed24n0844.xml
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|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Hu, Sudeng
|e verfasserin
|4 aut
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| 245 |
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|a Compressed image quality metric based on perceptually weighted distortion
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|c 2015
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|a Text
|b txt
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|2 rdacarrier
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| 500 |
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|a Date Completed 18.08.2016
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|a Date Revised 27.01.2016
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Objective quality assessment for compressed images is critical to various image compression systems that are essential in image delivery and storage. Although the mean squared error (MSE) is computationally simple, it may not be accurate to reflect the perceptual quality of compressed images, which is also affected dramatically by the characteristics of human visual system (HVS), such as masking effect. In this paper, an image quality metric (IQM) is proposed based on perceptually weighted distortion in terms of the MSE. To capture the characteristics of HVS, a randomness map is proposed to measure the masking effect and a preprocessing scheme is proposed to simulate the processing that occurs in the initial part of HVS. Since the masking effect highly depends on the structural randomness, the prediction error from neighborhood with a statistical model is used to measure the significance of masking. Meanwhile, the imperceptible signal with high frequency could be removed by preprocessing with low-pass filters. The relation is investigated between the distortions before and after masking effect, and a masking modulation model is proposed to simulate the masking effect after preprocessing. The performance of the proposed IQM is validated on six image databases with various compression distortions. The experimental results show that the proposed algorithm outperforms other benchmark IQMs
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| 650 |
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|a Journal Article
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| 650 |
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4 |
|a Research Support, Non-U.S. Gov't
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| 700 |
1 |
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|a Jin, Lina
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wang, Hanli
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zhang, Yun
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Kwong, Sam
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Kuo, C-C Jay
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 24(2015), 12 vom: 10. Dez., Seite 5594-608
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|x 1941-0042
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| 773 |
1 |
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|g volume:24
|g year:2015
|g number:12
|g day:10
|g month:12
|g pages:5594-608
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| 856 |
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|u http://dx.doi.org/10.1109/TIP.2015.2481319
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