Quality assessment of synthetic viewpoint stereo image with multi-feature fusion
A multi-feature fusion method was proposed,the features of the distortion areas,the distortion edges and the singular value were fused.Firstly,the distortion areas corresponding to the human eyes were obtained by using the parallax and the threshold,and then the average structural similarity in thes...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2019-05-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019070/ |
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| _version_ | 1841530528155566080 |
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| author | Shuainan CUI Zongju PENG Wenhui ZOU Fen CHEN Hua CHEN |
| author_facet | Shuainan CUI Zongju PENG Wenhui ZOU Fen CHEN Hua CHEN |
| author_sort | Shuainan CUI |
| collection | DOAJ |
| description | A multi-feature fusion method was proposed,the features of the distortion areas,the distortion edges and the singular value were fused.Firstly,the distortion areas corresponding to the human eyes were obtained by using the parallax and the threshold,and then the average structural similarity in these areas was calculated.Secondly,the distorted edges in the synthetic viewpoint edge image were extracted,and then the average structural similarity was calculated.Thirdly,the difference between the original image and the distorted image singular value was calculated.Finally,the three features were fused to obtain the final objective quality score.The experiment was carried out on the synthetic viewpoint stereo image library.The experimental results show that the Pearson linear correlation coefficient and the Spearman correlation coefficient are both higher than 0.86.Compared with the existing assessment methods,it can better reflect the quality of synthetic viewpoint stereo images. |
| format | Article |
| id | doaj-art-84c3424e3a144f3ab9dafc3b56e89024 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2019-05-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-84c3424e3a144f3ab9dafc3b56e890242025-01-15T03:02:56ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012019-05-013510411259589949Quality assessment of synthetic viewpoint stereo image with multi-feature fusionShuainan CUIZongju PENGWenhui ZOUFen CHENHua CHENA multi-feature fusion method was proposed,the features of the distortion areas,the distortion edges and the singular value were fused.Firstly,the distortion areas corresponding to the human eyes were obtained by using the parallax and the threshold,and then the average structural similarity in these areas was calculated.Secondly,the distorted edges in the synthetic viewpoint edge image were extracted,and then the average structural similarity was calculated.Thirdly,the difference between the original image and the distorted image singular value was calculated.Finally,the three features were fused to obtain the final objective quality score.The experiment was carried out on the synthetic viewpoint stereo image library.The experimental results show that the Pearson linear correlation coefficient and the Spearman correlation coefficient are both higher than 0.86.Compared with the existing assessment methods,it can better reflect the quality of synthetic viewpoint stereo images.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019070/virtual viewpointstereo imagequality assessmentfeature fusionhuman visual characteristic |
| spellingShingle | Shuainan CUI Zongju PENG Wenhui ZOU Fen CHEN Hua CHEN Quality assessment of synthetic viewpoint stereo image with multi-feature fusion Dianxin kexue virtual viewpoint stereo image quality assessment feature fusion human visual characteristic |
| title | Quality assessment of synthetic viewpoint stereo image with multi-feature fusion |
| title_full | Quality assessment of synthetic viewpoint stereo image with multi-feature fusion |
| title_fullStr | Quality assessment of synthetic viewpoint stereo image with multi-feature fusion |
| title_full_unstemmed | Quality assessment of synthetic viewpoint stereo image with multi-feature fusion |
| title_short | Quality assessment of synthetic viewpoint stereo image with multi-feature fusion |
| title_sort | quality assessment of synthetic viewpoint stereo image with multi feature fusion |
| topic | virtual viewpoint stereo image quality assessment feature fusion human visual characteristic |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2019070/ |
| work_keys_str_mv | AT shuainancui qualityassessmentofsyntheticviewpointstereoimagewithmultifeaturefusion AT zongjupeng qualityassessmentofsyntheticviewpointstereoimagewithmultifeaturefusion AT wenhuizou qualityassessmentofsyntheticviewpointstereoimagewithmultifeaturefusion AT fenchen qualityassessmentofsyntheticviewpointstereoimagewithmultifeaturefusion AT huachen qualityassessmentofsyntheticviewpointstereoimagewithmultifeaturefusion |