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FAIR: a fast algorithm for document image restoration
Thibault Lelore1, Frédéric Bouchara
1LSIS laboratory, Southern University of Toulon-Var, Avenue de l’Universite, BP 20132, La Garde Cedex 83957, France. thibault.lelore@gmail.com
Summary
The FAIR algorithm offers fast document image restoration, excelling in real-time applications. Its robust edge detection handles noise and contrast variations effectively.
Area of Science:
- Computer Vision
- Image Processing
- Document Analysis
Background:
- Document image quality is often degraded by noise, low contrast, and illumination variations.
- Existing restoration methods may struggle with real-time processing or robustness to diverse degradation types.
Purpose of the Study:
- Introduce the FAIR algorithm for efficient and effective document image restoration.
- Evaluate the algorithm's performance against state-of-the-art methods.
Main Methods:
- Developed a novel algorithm named FAIR (Fast Algorithm for document Image restoration).
- Employed a double-threshold edge detection technique for detail preservation and noise robustness.
- Tested on document images with significant noise and contrast/illumination variations.
Main Results:
- FAIR algorithm demonstrated competitive performance in document image restoration contests.
- The method proved to be scale-invariant.
- Achieved sufficient speed for real-time application suitability.
Conclusions:
- The FAIR algorithm is a highly effective solution for restoring degraded document images.
- Its robustness and speed make it suitable for practical, real-time scenarios.
- The double-threshold edge detection is key to its performance on noisy and low-contrast images.
