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» Contextual Restoration of Severely Degraded Document Images
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ICCV
2009
IEEE
15 years 13 days ago
Factorizing Scene Albedo and Depth from a Single Foggy Image
Atmospheric conditions induced by suspended particles, such as fog and haze, severely degrade image quality. Restoring the true scene colors (clear day image) from a single imag...
Louis Kratz, Ko Nishino
ICPR
2008
IEEE
14 years 8 months ago
Improved document image binarization by using a combination of multiple binarization techniques and adapted edge information
This paper presents a new adaptive approach for document image binarization. The proposed method is mainly based on the combination of several stateof-the-art binarization methodo...
Basilios Gatos, Ioannis Pratikakis, Stavros J. Per...
ICDAR
2009
IEEE
14 years 2 months ago
Segmentation-free Word Spotting in Historical Printed Documents
In this paper, a new efficient word spotting methodology is presented that can be applied to historical printed documents without requiring any previous block or word segmentation...
Basilios Gatos, Ioannis Pratikakis
CVPR
2011
IEEE
12 years 11 months ago
Blur kernel estimation using the Radon Transform
Camera shake is a common source of degradation in photographs. Restoring blurred pictures is challenging because both the blur kernel and the sharp image are unknown, which makes ...
Taeg Sang Cho, Sylvain Paris, Bill Freeman, Bertho...
ICDAR
2009
IEEE
14 years 2 months ago
A Modified Adaptive Logical Level Binarization Technique for Historical Document Images
In this paper, a new document image binarization technique is presented, as an improved version of the state-of-the-art adaptive logical level technique (ALLT). The original ALLT ...
Konstantinos Ntirogiannis, Basilios Gatos, Ioannis...