CMV2U‐Net: A U‐shaped network with edge‐weighted features for detecting and localizing image splicing

The practice of cutting and pasting portions of one image into another, known as “image splicing,” is commonplace in the field of image manipulation. Image splicing detection using deep learning has been a hot research topic for the past few years. However, there are two problems with the way deep l...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of forensic sciences Jg. 70; H. 3; S. 1026 - 1043
Hauptverfasser:	Akram, Arslan, Jaffar, Muhammad Arfan, Rashid, Javed, Boulaaras, Salah Mahmoud, Faheem, Muhammad
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Wiley Subscription Services, Inc 01.05.2025 John Wiley and Sons Inc
Schlagworte:	Agnosticism Compression Data loss Deep learning digital forensics Encoding Extraction Feature extraction feature fusion Forgery image authentication Image compression image forgery localization Image manipulation Image processing image splicing detection Learning Localization Manipulation Methodological problems Original Paper U‐shaped network digital forensics image authentication image splicing detection feature fusion image forgery localization U‐shaped network
ISSN:	0022-1198, 1556-4029, 1556-4029
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!