No-Reference Image Sharpness Assessment Based on Perceptually-Weighted Image Gradients
The fact that human visual perception is highly spe-cialized for extracting structural information has been efficiently exploited in full-reference image quality assessment algorithms; additionally, it has been shown that the human perception of sharpness depends on the local image contrast. Since t...
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| Format: | ARTÍCULO DE CONFERENCIA |
| Language: | es_ES |
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IEEE
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182024784&doi=10.1109%2fIISA59645.2023.10345886&partnerID=40&md5=bacce65e17af6c3f5fd72989bdc5a11c |
| _version_ | 1793400623759097856 |
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| author | Andrade Rodas, Juan Manuel |
| author2 | Andrade Rodas, Juan Manuel |
| author_facet | Andrade Rodas, Juan Manuel Andrade Rodas, Juan Manuel |
| author_sort | Andrade Rodas, Juan Manuel |
| collection | DSpace |
| description | The fact that human visual perception is highly spe-cialized for extracting structural information has been efficiently exploited in full-reference image quality assessment algorithms; additionally, it has been shown that the human perception of sharpness depends on the local image contrast. Since the image gradients can measure effectively the image structure, we propose a training-free no-reference objective image sharpness assessment method based on the statistical analysis of perceptually-weighted normalized -gradients of relevant pixels in the input image. Results over six subject-rated publicly available databases show that the proposed no-reference sharpness assessment algorithm correlates well with perceived sharpness and provides competitive performance when compared with state-of-the-art algorithms despite its low computational burden. |
| format | ARTÍCULO DE CONFERENCIA |
| id | oai:dspace.ucuenca.edu.ec:123456789-44106 |
| institution | Universidad de Cuenca |
| language | es_ES |
| publishDate | 2024 |
| publisher | IEEE |
| record_format | dspace |
| spelling | oai:dspace.ucuenca.edu.ec:123456789-441062024-03-06T14:51:32Z No-Reference Image Sharpness Assessment Based on Perceptually-Weighted Image Gradients Andrade Rodas, Juan Manuel Andrade Rodas, Juan Manuel Image blur Image sharpness No-reference image quality assessment Objective blur assessment Perceptual-based The fact that human visual perception is highly spe-cialized for extracting structural information has been efficiently exploited in full-reference image quality assessment algorithms; additionally, it has been shown that the human perception of sharpness depends on the local image contrast. Since the image gradients can measure effectively the image structure, we propose a training-free no-reference objective image sharpness assessment method based on the statistical analysis of perceptually-weighted normalized -gradients of relevant pixels in the input image. Results over six subject-rated publicly available databases show that the proposed no-reference sharpness assessment algorithm correlates well with perceived sharpness and provides competitive performance when compared with state-of-the-art algorithms despite its low computational burden. Volos 2024-03-06T14:38:43Z 2024-03-06T14:38:43Z 2023 ARTÍCULO DE CONFERENCIA 979-8-3503-1806-7 0000-0000 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182024784&doi=10.1109%2fIISA59645.2023.10345886&partnerID=40&md5=bacce65e17af6c3f5fd72989bdc5a11c 10.1109/IISA59645.2023.10345886 es_ES application/pdf IEEE 14th International Conference on Information, Intelligence, Systems and Applications |
| spellingShingle | Image blur Image sharpness No-reference image quality assessment Objective blur assessment Perceptual-based Andrade Rodas, Juan Manuel No-Reference Image Sharpness Assessment Based on Perceptually-Weighted Image Gradients |
| title | No-Reference Image Sharpness Assessment Based on Perceptually-Weighted Image Gradients |
| title_full | No-Reference Image Sharpness Assessment Based on Perceptually-Weighted Image Gradients |
| title_fullStr | No-Reference Image Sharpness Assessment Based on Perceptually-Weighted Image Gradients |
| title_full_unstemmed | No-Reference Image Sharpness Assessment Based on Perceptually-Weighted Image Gradients |
| title_short | No-Reference Image Sharpness Assessment Based on Perceptually-Weighted Image Gradients |
| title_sort | no-reference image sharpness assessment based on perceptually-weighted image gradients |
| topic | Image blur Image sharpness No-reference image quality assessment Objective blur assessment Perceptual-based |
| url | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182024784&doi=10.1109%2fIISA59645.2023.10345886&partnerID=40&md5=bacce65e17af6c3f5fd72989bdc5a11c |
| work_keys_str_mv | AT andraderodasjuanmanuel noreferenceimagesharpnessassessmentbasedonperceptuallyweightedimagegradients |