Repositori institucional URV
| URV's Author/s: | Abdelnasser Mohamed Mahmoud, Mohamed / Puig Valls, Domènec Savi |
| Author, as appears in the article.: | Ahmed, Basma; Omer, Osama A; Rashed, Amal; Puig, Domenec; Abdel-Nasser, Mohamed |
| Author's mail: | domenec.puig@urv.cat mohamed.abdelnasser@urv.cat |
| Author identifier: | 0000-0002-0562-4205 0000-0002-1074-2441 |
| Journal publication year: | 2022 |
| Publication Type: | Proceedings Paper |
| APA: | Ahmed, Basma; Omer, Osama A; Rashed, Amal; Puig, Domenec; Abdel-Nasser, Mohamed (2022). Referenceless Image Quality Assessment Utilizing Deep Transfer-Learned Features. Amsterdam: IOS Press |
| Papper original source: | Frontiers In Artificial Intelligence And Applications. 356 243-248 |
| Abstract: | Image quality assessment (IQA) algorithms are critical for determining the quality of high-resolution photographs. This work proposes a hybrid NR IQA approach that uses deep transfer learning to enhance classic NR IQA with deep learning characteristics. Firstly, we simulate a pseudo reference image (PRI) from the input image. Then, we used a pre-trained inception-v3 deep feature extractor to generate the feature maps from the input distorted image and PRI. The distance between the feature maps of the input distorted image and PRI are measured using the local structural similarity (LSS) method. A nonlinear mapping function is used to calculate the final quality scores. When compared to previous work, the proposed method has a promising performance. |
| Article's DOI: | 10.3233/FAIA220345 |
| Link to the original source: | https://ebooks.iospress.nl/doi/10.3233/FAIA220345 |
| Papper version: | info:eu-repo/semantics/publishedVersion |
| licence for use: | https://creativecommons.org/licenses/by/3.0/es/ |
| Department: | Enginyeria Informàtica i Matemàtiques |
| Licence document URL: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
| Thematic Areas: | Artificial intelligence Ciências agrárias i Comunicació i informació Engenharias iii Engenharias iv General o multidisciplinar Información y documentación Interdisciplinar Medicina ii |
| Keywords: | Blind image quality Deep learnin Deep learning Pseudo-reference Similarity measures |
| Entity: | Universitat Rovira i Virgili |
| Record's date: | 2024-10-12 |
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