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» MAP-MRF approach for binarization of degraded document image
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ICDAR
2009
IEEE
13 years 4 months ago
Restoration and Segmentation of Highly Degraded Characters Using a Shape-Independent Level Set Approach and Multi-level Classifi
Segmentation of ancient documents is challenging. In the worst cases, text characters become fragmented as the results of strong degradation processes. New active contour methods ...
Reza Farrahi Moghaddam, David Rivest-Hénaul...
ICDAR
2007
IEEE
14 years 1 months ago
Quantile Linear Algorithm for Robust Binarization of Digitalized Letters
We describe a threshold-based local algorithm for image binarization. The main idea is to compute a transition energy using pixel value differences taken from a neighborhood aroun...
M. Ramírez, Ernesto Tapia, Marco Block, Ra&...
ICDAR
2003
IEEE
14 years 35 min ago
Automatic Feature Selection with Applications to Script Identification of Degraded Documents
Current approaches to script identification rely on hand-selected features and often require processing a significant part of the document to achieve reliable identification. We p...
Vitaly Ablavsky, Mark R. Stevens
ICDAR
2009
IEEE
13 years 4 months ago
Pre-Processing of Degraded Printed Documents by Non-local Means and Total Variation
We compare in this study two image restoration approaches for the pre-processing of printed documents: namely the Non-local Means filter and a total variation minimization approac...
Laurence Likforman-Sulem, Jérôme Darb...
ICDAR
2003
IEEE
14 years 13 min ago
A Multiscale Approach to Restoring Scanned Color Document Images with Show-Through Effects
This paper describes a new approach to restoring scanned color document images where the backside image shows through the paper sheet. A new framework is presented for correcting ...
Hirobumi Nishida, Takeshi Suzuki