Advancing Ancient Arabic Manuscript Restoration with Optimized Deep Learning and Image Enhancement Techniques

The restoration of ancient Arabic manuscripts is a challenging task because of the noise and degradations present in restored historical documents. This paper presents an effective pipeline for manuscript restoration based on the Data Augmentation concepts and the GA for improving DL models. The Gen...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Traitement du signal 2024-08, Vol.41 (4), p.2203-2219
Hauptverfasser:	Miloud, Kamline, Abdelmounaim, Moulay Lakhdar, Mohammed, Beladgham, Ilyas, Bendjillali Ridha
Format:	Artikel
Sprache:	eng ; fre
Schlagworte:	Accuracy Archives & records Artificial intelligence Classification Cultural heritage Data augmentation Datasets Deep learning Genetic algorithms Handwriting Historic artifacts Image degradation Image enhancement Image filters Image restoration Letters Machine learning Multimedia Neural networks Noise reduction Optimization techniques Questions Research methodology Success Wiener filtering
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!