E-ISSN 3041-4296
 
2024, Vol: 1, Issue: 3
1 / 3Current Issue ArchiveAims and ScopeAbstracting & IndexingMost Accessed ArticlesMost Downloaded ArticlesMost Cited Articles

Review Article
Online Published: 20 May 2024


A Review of the Foundations, Developments and Prospects of Image Inpainting Based on Deep Learning

LI CHEN, YONG HUAH CHAN.


Abstract
Images are visual medium used to convey information, express opinions, record events or display artistic creations and are widely used across diverse fields. However, they may suffer from various defects arising from poor storage methods, inadequate devices, inappropriate techniques or human damage. In the past, traditional methods were primarily used for image inpainting. Through the employment of deep models, image inpainting based on deep learning techniques can boost accuracy in preserving image texture and structure. Despite the prominence of image inpainting in the field of computer vision, there remains a dearth of comprehensive review works. This study provides a comprehensive analysis of sophisticated image inpainting methodologies based on deep learning models, considering common datasets and assessment criteria. In particular, the examined models comprise autoencoder-based models, U-net-based models, generative adversarial network-based models, and transformer-based models. Additionally, potential pathways for future research are also discussed.

Key words: Image inpainting, Computer vision, Image processing, Deep learning.


 
ARTICLE TOOLS
Abstract
PDF Fulltext
How to cite this articleHow to cite this article
Citation Tools
Related Records
 Articles by LI CHEN
Articles by YONG HUAH CHAN
on Google
on Google Scholar


How to Cite this Article
Pubmed Style

LC, CHAN YH. A Review of the Foundations, Developments and Prospects of Image Inpainting Based on Deep Learning. Eu J Sci Res Rev. 2024; 1(1): 43-68. doi:10.5455/EJSRR.20240422044904

Web Style

LC, CHAN YH. A Review of the Foundations, Developments and Prospects of Image Inpainting Based on Deep Learning. https://www.wisdomgale.com/ejsrr/?mno=198601 [Access: September 01, 2024]. doi:10.5455/EJSRR.20240422044904

AMA (American Medical Association) Style

LC, CHAN YH. A Review of the Foundations, Developments and Prospects of Image Inpainting Based on Deep Learning. Eu J Sci Res Rev. 2024; 1(1): 43-68. doi:10.5455/EJSRR.20240422044904


Vancouver/ICMJE Style

LC, CHAN YH. A Review of the Foundations, Developments and Prospects of Image Inpainting Based on Deep Learning. Eu J Sci Res Rev. (2024), [cited September 01, 2024]; 1(1): 43-68. doi:10.5455/EJSRR.20240422044904


Harvard Style

, L. C. & CHAN, . Y. H. (2024) A Review of the Foundations, Developments and Prospects of Image Inpainting Based on Deep Learning. Eu J Sci Res Rev, 1 (1), 43-68. doi:10.5455/EJSRR.20240422044904


Turabian Style

, LI CHEN, and YONG HUAH CHAN. 2024. A Review of the Foundations, Developments and Prospects of Image Inpainting Based on Deep Learning. European Journal of Scientific Research and Reviews, 1 (1), 43-68. doi:10.5455/EJSRR.20240422044904


Chicago Style

, LI CHEN, and YONG HUAH CHAN. "A Review of the Foundations, Developments and Prospects of Image Inpainting Based on Deep Learning." European Journal of Scientific Research and Reviews 1 (2024), 43-68. doi:10.5455/EJSRR.20240422044904


MLA (The Modern Language Association) Style

, LI CHEN, and YONG HUAH CHAN. "A Review of the Foundations, Developments and Prospects of Image Inpainting Based on Deep Learning." European Journal of Scientific Research and Reviews 1.1 (2024), 43-68. Print. doi:10.5455/EJSRR.20240422044904


APA (American Psychological Association) Style

, L. C. & CHAN, . Y. H. (2024) A Review of the Foundations, Developments and Prospects of Image Inpainting Based on Deep Learning. European Journal of Scientific Research and Reviews, 1 (1), 43-68. doi:10.5455/EJSRR.20240422044904


Author LoginReviewer LoginAbout PublisherOpen Access PolicyEditorial PoliciesEditorial Review PolicyPeer Review PolicyEditorial & Peer Review ProcessPublication Ethics and Publication Malpractice StatementConflict of Interest PolicyPlagiarism PolicyProtection of Research Participants (Statement On Human And Animal Rights)Privacy PolicyCorrections, Retractions & Expressions of ConcernSelf-Archiving PoliciesDigital Archiving & Preservation PoliciesTerms of UseLicense InformationCopyright Information

About European Journal of Scientific Research and Reviews

European Journal of Scientific Research and Reviews  is an international, peer-reviewed, open access journal, providing a platform for advances in ba ... Read more.



For best results, please use Internet Explorer or Google Chrome.

Contact Information

Your comments are very important to us

We welcome your ideas, suggestions, comments, or questions. To reach Editorial Board please use one of the methods provided below.
 

Emails:

info@wisdomgale.com
editorinchief@ejmanager.com

Office Address:
WisdomGale Publishing
14 Rue de Grand-Bigard,
1082 Brussels
Belgium
 
We will respond within 48 to 72 hours.
 
Change of address or personal information? Please visit your account at www.ejmanager.com to update your information.