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

Authors

481

  1. CL
    Chew Lim Tan

    National University of Singapore, Singapore

    16 publications · 601 citations

    14

    h-index

  2. MC
    Mohamed Cheriet

    École de Technologie Supérieure, Canada

    10 publications · 499 citations

    10

    h-index

  3. AT
    Anna Tonazzini

    Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", Italy

    9 publications · 392 citations

    9

    h-index

  4. MS
    Michael S. Brown

    National University of Singapore, Singapore

    9 publications · 442 citations

    9

    h-index

  5. RF
    Reza Farrahi Moghaddam

    École de Technologie Supérieure, Canada

    7 publications · 361 citations

    7

    h-index

1–5 of 481

Venues

  1. 11

    h-index

  2. Pattern Recognition

    11 publications · 1.2K citations

    11

    h-index

  3. 10

    h-index

  4. 6

    h-index

  5. IEEE Transactions on Image Processing

    4 publications · 189 citations

    4

    h-index

1–5