Document Restoration
Document Restoration is a computational method within Document Image Analysis that specifically aims to recover and enhance the visual content and structural integrity of degraded or damaged document images, distinguishing itself from related preprocessing techniques by its focus on reversing physical or temporal deterioration effects such as stains, fading, or ink bleed-through.
217
Publications
8K
Citations
481
Authors
186
Institutions
Publications per year
2017–2026
42
Parents
217
Deblurring Text Images via L0-Regularized Intensity and Gradient Prior
Jinshan Pan, Zhe Hu, Zhixun Su et al. · 2014 · 466 citations
An adaptive logical method for binarization of degraded document images
Yibing Yang, Hong Yan · Pattern Recognition · 2000 · 190 citations
1–5 of 217
481
14
h-index
10
h-index
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", Italy
9 publications · 392 citations
9
h-index
9
h-index
7
h-index
1–5 of 481
186
National University of Singapore
Singapore, Singapore
18 h-index
74 publications
2.7K citations

École de Technologie Supérieure
Montreal, Canada
10 h-index
22 publications
1K citations
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo"
Pisa, Italy
9 h-index
27 publications
1.2K citations
University of Kentucky
Lexington, United States
8 h-index
22 publications
1.2K citations
Nanyang Technological University
Singapore, Singapore
7 h-index
13 publications
567 citations

University of Trieste
Trieste, Italy
6 h-index
11 publications
303 citations
Laboratoire de communications multimédias en téléprésence
Montreal, Canada
5 h-index
11 publications
777 citations
University of Sfax
Sfax, Tunisia
5 h-index
6 publications
261 citations
1–8 of 186
11 publications · 529 citations
11
h-index
11 publications · 1.2K citations
11
h-index
TPAMI · 10 publications · 839 citations
10
h-index
6 publications · 92 citations
6
h-index
4 publications · 189 citations
4
h-index
1–5