Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/90057
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seychell, Dylan | - |
dc.contributor.author | Debono, Carl James | - |
dc.date.accessioned | 2022-03-01T12:43:03Z | - |
dc.date.available | 2022-03-01T12:43:03Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Seychell, D., & Debono, C. J. (2020). An approach for objective quality assessment of image inpainting results. 20th Mediterranean Electrotechnical Conference (MELECON), Palermo. 226-231. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/90057 | - |
dc.description.abstract | Image Inpainting techniques are generally challenging to evaluate objectively due to the lack of comparative data, as a reference image of the new scene, does not exist.. This paper presents an approach that uses our newly released dataset specifically designed to allow objective evaluation of inpainting techniques. In this work we demonstrate how traditional in-painting techniques can be objectively evaluated and compared together with modern deep learning and adversarial approaches. We further demonstrate how an unsupervised technique compares better than deep learning approaches. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | IEEE | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Inpainting | en_GB |
dc.subject | Data sets | en_GB |
dc.subject | Computer vision | en_GB |
dc.subject | Machine learning | en_GB |
dc.title | An approach for objective quality assessment of image inpainting results | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder | en_GB |
dc.bibliographicCitation.conferencename | 20th Mediterranean Electrotechnical Conference (MELECON) | en_GB |
dc.bibliographicCitation.conferenceplace | Palermo, Italy, 16-18/06/2020 | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
Appears in Collections: | Scholarly Works - FacICTAI |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
An_approach_for_objective_quality_assessment_of_image_inpainting_results.pdf Restricted Access | 2.36 MB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.