Blind Tone-Mapped Image Quality Assessment Based on Regional Sparse Response and Aesthetics
High dynamic range (HDR) images give a strong disposition to capture all parts of natural scene information due to their wider brightness range than traditional low dynamic range (LDR) images. However, to visualize HDR images on common LDR displays, tone mapping operations (TMOs) are extra required,...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-07-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/22/8/850 |
| _version_ | 1827711863793647616 |
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| author | Zhouyan He Mei Yu Fen Chen Zongju Peng Haiyong Xu Yang Song |
| author_facet | Zhouyan He Mei Yu Fen Chen Zongju Peng Haiyong Xu Yang Song |
| author_sort | Zhouyan He |
| collection | DOAJ |
| description | High dynamic range (HDR) images give a strong disposition to capture all parts of natural scene information due to their wider brightness range than traditional low dynamic range (LDR) images. However, to visualize HDR images on common LDR displays, tone mapping operations (TMOs) are extra required, which inevitably lead to visual quality degradation, especially in the bright and dark regions. To evaluate the performance of different TMOs accurately, this paper proposes a blind tone-mapped image quality assessment method based on regional sparse response and aesthetics (RSRA-BTMI) by considering the influences of detail information and color on the human visual system. Specifically, for the detail loss in a tone-mapped image (TMI), multi-dictionaries are first designed for different brightness regions and whole TMI. Then regional sparse atoms aggregated by local entropy and global reconstruction residuals are presented to characterize the regional and global detail distortion in TMI, respectively. Besides, a few efficient aesthetic features are extracted to measure the color unnaturalness of TMI. Finally, all extracted features are linked with relevant subjective scores to conduct quality regression via random forest. Experimental results on the ESPL-LIVE HDR database demonstrate that the proposed RSRA-BTMI method is superior to the existing state-of-the-art blind TMI quality assessment methods. |
| first_indexed | 2024-03-10T18:03:32Z |
| format | Article |
| id | doaj.art-c53c866f3566448382421f83e34bdf1f |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-10T18:03:32Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-c53c866f3566448382421f83e34bdf1f2023-11-20T08:41:38ZengMDPI AGEntropy1099-43002020-07-0122885010.3390/e22080850Blind Tone-Mapped Image Quality Assessment Based on Regional Sparse Response and AestheticsZhouyan He0Mei Yu1Fen Chen2Zongju Peng3Haiyong Xu4Yang Song5Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, ChinaFaculty of Information Science and Engineering, Ningbo University, Ningbo 315211, ChinaFaculty of Information Science and Engineering, Ningbo University, Ningbo 315211, ChinaFaculty of Information Science and Engineering, Ningbo University, Ningbo 315211, ChinaFaculty of Information Science and Engineering, Ningbo University, Ningbo 315211, ChinaFaculty of Information Science and Engineering, Ningbo University, Ningbo 315211, ChinaHigh dynamic range (HDR) images give a strong disposition to capture all parts of natural scene information due to their wider brightness range than traditional low dynamic range (LDR) images. However, to visualize HDR images on common LDR displays, tone mapping operations (TMOs) are extra required, which inevitably lead to visual quality degradation, especially in the bright and dark regions. To evaluate the performance of different TMOs accurately, this paper proposes a blind tone-mapped image quality assessment method based on regional sparse response and aesthetics (RSRA-BTMI) by considering the influences of detail information and color on the human visual system. Specifically, for the detail loss in a tone-mapped image (TMI), multi-dictionaries are first designed for different brightness regions and whole TMI. Then regional sparse atoms aggregated by local entropy and global reconstruction residuals are presented to characterize the regional and global detail distortion in TMI, respectively. Besides, a few efficient aesthetic features are extracted to measure the color unnaturalness of TMI. Finally, all extracted features are linked with relevant subjective scores to conduct quality regression via random forest. Experimental results on the ESPL-LIVE HDR database demonstrate that the proposed RSRA-BTMI method is superior to the existing state-of-the-art blind TMI quality assessment methods.https://www.mdpi.com/1099-4300/22/8/850high dynamic range imagetone-mappingimage quality assessmentregional sparse responseaestheticsentropy weighting |
| spellingShingle | Zhouyan He Mei Yu Fen Chen Zongju Peng Haiyong Xu Yang Song Blind Tone-Mapped Image Quality Assessment Based on Regional Sparse Response and Aesthetics Entropy high dynamic range image tone-mapping image quality assessment regional sparse response aesthetics entropy weighting |
| title | Blind Tone-Mapped Image Quality Assessment Based on Regional Sparse Response and Aesthetics |
| title_full | Blind Tone-Mapped Image Quality Assessment Based on Regional Sparse Response and Aesthetics |
| title_fullStr | Blind Tone-Mapped Image Quality Assessment Based on Regional Sparse Response and Aesthetics |
| title_full_unstemmed | Blind Tone-Mapped Image Quality Assessment Based on Regional Sparse Response and Aesthetics |
| title_short | Blind Tone-Mapped Image Quality Assessment Based on Regional Sparse Response and Aesthetics |
| title_sort | blind tone mapped image quality assessment based on regional sparse response and aesthetics |
| topic | high dynamic range image tone-mapping image quality assessment regional sparse response aesthetics entropy weighting |
| url | https://www.mdpi.com/1099-4300/22/8/850 |
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