Mask Optimization for Image Inpainting Using No-Reference Image Quality Assessment Article Swipe
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1109/ojsp.2025.3577089
Image inpainting is a technique designed to remove unwanted regions from images and restore them. This technique is expected to be applied in various applications, including image editing, virtual reality (VR), mixed reality (MR), and augmented reality (AR). Typically, the inpainting process is based on missing regions predefined by user-applied masks. However, the specified areas may not always be ideal for inpainting, and the quality of the inpainting results varies depending on the annotated masked region. Therefore, this paper addresses the task of generating masks that improve inpainting results. To this end, we proposed a method that utilized No-Reference Image Quality Assessment (NR-IQA), which can score image quality without a reference image, to generate masked regions that maximize inpainting quality.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/ojsp.2025.3577089
- OA Status
- gold
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411055157
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4411055157Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/ojsp.2025.3577089Digital Object Identifier
- Title
-
Mask Optimization for Image Inpainting Using No-Reference Image Quality AssessmentWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-01Full publication date if available
- Authors
-
Takashi Uchiyama, Mariko IsogawaList of authors in order
- Landing page
-
https://doi.org/10.1109/ojsp.2025.3577089Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1109/ojsp.2025.3577089Direct OA link when available
- Concepts
-
Inpainting, Image (mathematics), Artificial intelligence, Computer vision, Image quality, Computer science, Quality (philosophy), Epistemology, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4411055157 |
|---|---|
| doi | https://doi.org/10.1109/ojsp.2025.3577089 |
| ids.doi | https://doi.org/10.1109/ojsp.2025.3577089 |
| ids.openalex | https://openalex.org/W4411055157 |
| fwci | 0.0 |
| type | article |
| title | Mask Optimization for Image Inpainting Using No-Reference Image Quality Assessment |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 10 |
| biblio.first_page | 1 |
| topics[0].id | https://openalex.org/T12111 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9908000230789185 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2209 |
| topics[0].subfield.display_name | Industrial and Manufacturing Engineering |
| topics[0].display_name | Industrial Vision Systems and Defect Detection |
| topics[1].id | https://openalex.org/T11245 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9639999866485596 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2206 |
| topics[1].subfield.display_name | Computational Mechanics |
| topics[1].display_name | Advanced Numerical Analysis Techniques |
| topics[2].id | https://openalex.org/T10481 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.963699996471405 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1704 |
| topics[2].subfield.display_name | Computer Graphics and Computer-Aided Design |
| topics[2].display_name | Computer Graphics and Visualization Techniques |
| is_xpac | False |
| apc_list.value | 1750 |
| apc_list.currency | USD |
| apc_list.value_usd | 1750 |
| apc_paid.value | 1750 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 1750 |
| concepts[0].id | https://openalex.org/C11727466 |
| concepts[0].level | 3 |
| concepts[0].score | 0.9356486797332764 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1628157 |
| concepts[0].display_name | Inpainting |
| concepts[1].id | https://openalex.org/C115961682 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6388427019119263 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q860623 |
| concepts[1].display_name | Image (mathematics) |
| concepts[2].id | https://openalex.org/C154945302 |
| concepts[2].level | 1 |
| concepts[2].score | 0.6160429120063782 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[2].display_name | Artificial intelligence |
| concepts[3].id | https://openalex.org/C31972630 |
| concepts[3].level | 1 |
| concepts[3].score | 0.5780287981033325 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[3].display_name | Computer vision |
| concepts[4].id | https://openalex.org/C55020928 |
| concepts[4].level | 3 |
| concepts[4].score | 0.574247419834137 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q3813865 |
| concepts[4].display_name | Image quality |
| concepts[5].id | https://openalex.org/C41008148 |
| concepts[5].level | 0 |
| concepts[5].score | 0.521725058555603 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[5].display_name | Computer science |
| concepts[6].id | https://openalex.org/C2779530757 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4545830488204956 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q1207505 |
| concepts[6].display_name | Quality (philosophy) |
| concepts[7].id | https://openalex.org/C111472728 |
| concepts[7].level | 1 |
| concepts[7].score | 0.06296488642692566 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q9471 |
| concepts[7].display_name | Epistemology |
| concepts[8].id | https://openalex.org/C138885662 |
| concepts[8].level | 0 |
| concepts[8].score | 0.04999467730522156 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[8].display_name | Philosophy |
| keywords[0].id | https://openalex.org/keywords/inpainting |
| keywords[0].score | 0.9356486797332764 |
| keywords[0].display_name | Inpainting |
| keywords[1].id | https://openalex.org/keywords/image |
| keywords[1].score | 0.6388427019119263 |
| keywords[1].display_name | Image (mathematics) |
| keywords[2].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[2].score | 0.6160429120063782 |
| keywords[2].display_name | Artificial intelligence |
| keywords[3].id | https://openalex.org/keywords/computer-vision |
| keywords[3].score | 0.5780287981033325 |
| keywords[3].display_name | Computer vision |
| keywords[4].id | https://openalex.org/keywords/image-quality |
| keywords[4].score | 0.574247419834137 |
| keywords[4].display_name | Image quality |
| keywords[5].id | https://openalex.org/keywords/computer-science |
| keywords[5].score | 0.521725058555603 |
| keywords[5].display_name | Computer science |
| keywords[6].id | https://openalex.org/keywords/quality |
| keywords[6].score | 0.4545830488204956 |
| keywords[6].display_name | Quality (philosophy) |
| keywords[7].id | https://openalex.org/keywords/epistemology |
| keywords[7].score | 0.06296488642692566 |
| keywords[7].display_name | Epistemology |
| keywords[8].id | https://openalex.org/keywords/philosophy |
| keywords[8].score | 0.04999467730522156 |
| keywords[8].display_name | Philosophy |
| language | en |
| locations[0].id | doi:10.1109/ojsp.2025.3577089 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210174214 |
| locations[0].source.issn | 2644-1322 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2644-1322 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | IEEE Open Journal of Signal Processing |
| locations[0].source.host_organization | https://openalex.org/P4310319808 |
| locations[0].source.host_organization_name | Institute of Electrical and Electronics Engineers |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319808 |
| locations[0].source.host_organization_lineage_names | Institute of Electrical and Electronics Engineers |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | IEEE Open Journal of Signal Processing |
| locations[0].landing_page_url | https://doi.org/10.1109/ojsp.2025.3577089 |
| locations[1].id | pmh:oai:doaj.org/article:063b1a4350224674adf4773a2d1539ea |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | IEEE Open Journal of Signal Processing, Vol 6, Pp 856-864 (2025) |
| locations[1].landing_page_url | https://doaj.org/article/063b1a4350224674adf4773a2d1539ea |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5021248501 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-2148-1694 |
| authorships[0].author.display_name | Takashi Uchiyama |
| authorships[0].countries | JP |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I203951103 |
| authorships[0].affiliations[0].raw_affiliation_string | Keio University, Minato, Japan |
| authorships[0].institutions[0].id | https://openalex.org/I203951103 |
| authorships[0].institutions[0].ror | https://ror.org/02kn6nx58 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I203951103 |
| authorships[0].institutions[0].country_code | JP |
| authorships[0].institutions[0].display_name | Keio University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Taiki Uchiyama |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Keio University, Minato, Japan |
| authorships[1].author.id | https://openalex.org/A5029572039 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-9560-0276 |
| authorships[1].author.display_name | Mariko Isogawa |
| authorships[1].countries | JP |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I203951103 |
| authorships[1].affiliations[0].raw_affiliation_string | Keio University, Minato, Japan |
| authorships[1].institutions[0].id | https://openalex.org/I203951103 |
| authorships[1].institutions[0].ror | https://ror.org/02kn6nx58 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I203951103 |
| authorships[1].institutions[0].country_code | JP |
| authorships[1].institutions[0].display_name | Keio University |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | Mariko Isogawa |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Keio University, Minato, Japan |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.1109/ojsp.2025.3577089 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Mask Optimization for Image Inpainting Using No-Reference Image Quality Assessment |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12111 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9908000230789185 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2209 |
| primary_topic.subfield.display_name | Industrial and Manufacturing Engineering |
| primary_topic.display_name | Industrial Vision Systems and Defect Detection |
| related_works | https://openalex.org/W2017457812, https://openalex.org/W3178025616, https://openalex.org/W2060947339, https://openalex.org/W2131831293, https://openalex.org/W2946160871, https://openalex.org/W3035059915, https://openalex.org/W1995073329, https://openalex.org/W425542480, https://openalex.org/W49967185, https://openalex.org/W2107727507 |
| cited_by_count | 0 |
| locations_count | 2 |
| best_oa_location.id | doi:10.1109/ojsp.2025.3577089 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210174214 |
| best_oa_location.source.issn | 2644-1322 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2644-1322 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | IEEE Open Journal of Signal Processing |
| best_oa_location.source.host_organization | https://openalex.org/P4310319808 |
| best_oa_location.source.host_organization_name | Institute of Electrical and Electronics Engineers |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319808 |
| best_oa_location.source.host_organization_lineage_names | Institute of Electrical and Electronics Engineers |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | IEEE Open Journal of Signal Processing |
| best_oa_location.landing_page_url | https://doi.org/10.1109/ojsp.2025.3577089 |
| primary_location.id | doi:10.1109/ojsp.2025.3577089 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210174214 |
| primary_location.source.issn | 2644-1322 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2644-1322 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | IEEE Open Journal of Signal Processing |
| primary_location.source.host_organization | https://openalex.org/P4310319808 |
| primary_location.source.host_organization_name | Institute of Electrical and Electronics Engineers |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319808 |
| primary_location.source.host_organization_lineage_names | Institute of Electrical and Electronics Engineers |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | IEEE Open Journal of Signal Processing |
| primary_location.landing_page_url | https://doi.org/10.1109/ojsp.2025.3577089 |
| publication_date | 2025-01-01 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index.a | 3, 94, 109 |
| abstract_inverted_index.To | 89 |
| abstract_inverted_index.be | 20, 58 |
| abstract_inverted_index.by | 48 |
| abstract_inverted_index.in | 22 |
| abstract_inverted_index.is | 2, 17, 42 |
| abstract_inverted_index.of | 65, 82 |
| abstract_inverted_index.on | 44, 71 |
| abstract_inverted_index.to | 6, 19, 112 |
| abstract_inverted_index.we | 92 |
| abstract_inverted_index.and | 12, 34, 62 |
| abstract_inverted_index.can | 104 |
| abstract_inverted_index.for | 60 |
| abstract_inverted_index.may | 55 |
| abstract_inverted_index.not | 56 |
| abstract_inverted_index.the | 39, 52, 63, 66, 72, 80 |
| abstract_inverted_index.This | 15 |
| abstract_inverted_index.end, | 91 |
| abstract_inverted_index.from | 10 |
| abstract_inverted_index.task | 81 |
| abstract_inverted_index.that | 85, 96, 116 |
| abstract_inverted_index.this | 77, 90 |
| abstract_inverted_index.(AR). | 37 |
| abstract_inverted_index.(MR), | 33 |
| abstract_inverted_index.(VR), | 30 |
| abstract_inverted_index.Image | 0, 99 |
| abstract_inverted_index.areas | 54 |
| abstract_inverted_index.based | 43 |
| abstract_inverted_index.ideal | 59 |
| abstract_inverted_index.image | 26, 106 |
| abstract_inverted_index.masks | 84 |
| abstract_inverted_index.mixed | 31 |
| abstract_inverted_index.paper | 78 |
| abstract_inverted_index.score | 105 |
| abstract_inverted_index.them. | 14 |
| abstract_inverted_index.which | 103 |
| abstract_inverted_index.always | 57 |
| abstract_inverted_index.image, | 111 |
| abstract_inverted_index.images | 11 |
| abstract_inverted_index.masked | 74, 114 |
| abstract_inverted_index.masks. | 50 |
| abstract_inverted_index.method | 95 |
| abstract_inverted_index.remove | 7 |
| abstract_inverted_index.varies | 69 |
| abstract_inverted_index.Quality | 100 |
| abstract_inverted_index.applied | 21 |
| abstract_inverted_index.improve | 86 |
| abstract_inverted_index.missing | 45 |
| abstract_inverted_index.process | 41 |
| abstract_inverted_index.quality | 64, 107 |
| abstract_inverted_index.reality | 29, 32, 36 |
| abstract_inverted_index.region. | 75 |
| abstract_inverted_index.regions | 9, 46, 115 |
| abstract_inverted_index.restore | 13 |
| abstract_inverted_index.results | 68 |
| abstract_inverted_index.various | 23 |
| abstract_inverted_index.virtual | 28 |
| abstract_inverted_index.without | 108 |
| abstract_inverted_index.However, | 51 |
| abstract_inverted_index.designed | 5 |
| abstract_inverted_index.editing, | 27 |
| abstract_inverted_index.expected | 18 |
| abstract_inverted_index.generate | 113 |
| abstract_inverted_index.maximize | 117 |
| abstract_inverted_index.proposed | 93 |
| abstract_inverted_index.quality. | 119 |
| abstract_inverted_index.unwanted | 8 |
| abstract_inverted_index.utilized | 97 |
| abstract_inverted_index.(NR-IQA), | 102 |
| abstract_inverted_index.addresses | 79 |
| abstract_inverted_index.annotated | 73 |
| abstract_inverted_index.augmented | 35 |
| abstract_inverted_index.depending | 70 |
| abstract_inverted_index.including | 25 |
| abstract_inverted_index.reference | 110 |
| abstract_inverted_index.specified | 53 |
| abstract_inverted_index.technique | 4, 16 |
| abstract_inverted_index.Assessment | 101 |
| abstract_inverted_index.Therefore, | 76 |
| abstract_inverted_index.Typically, | 38 |
| abstract_inverted_index.inpainting | 1, 40, 67, 87, 118 |
| abstract_inverted_index.predefined | 47 |
| abstract_inverted_index.inpainting, | 61 |
| abstract_inverted_index.No-Reference | 98 |
| abstract_inverted_index.user-applied | 49 |
| abstract_inverted_index.applications, | 24 |
| abstract_inverted_index.results</bold>. | 88 |
| abstract_inverted_index.<bold>generating | 83 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.28032154 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |