Skip to Main content Skip to Navigation
New interface
Conference papers

Edge noise removal in bilevel graphical document images using sparse representation

Abstract : A new parametric method for edge noise removal in graphical document images is presented using geometrical regularities of the graphics contours that exists in the images. Denoising is understood as a recovery problem and is done by employing a sparse representation framework with a basis pursuit denoising algorithm for denoising and curvelet frames for encoding directional information of the graphics contours. The optimal precision parameter used in this framework is shown to have linear relationship with the level of the noise. Experimental results show the superiority of the proposed method over existing ones in terms of image recovery and contour raggedness.
Document type :
Conference papers
Complete list of metadata

Cited literature [10 references]  Display  Hide  Download
Contributor : Thai V. Hoang Connect in order to contact the contributor
Submitted on : Monday, May 16, 2011 - 12:55:38 PM
Last modification on : Friday, May 13, 2022 - 1:54:02 PM
Long-term archiving on: : Wednesday, August 17, 2011 - 2:36:48 AM


Files produced by the author(s)




Thai V. Hoang, Elisa H. Barney Smith, Salvatore Tabbone. Edge noise removal in bilevel graphical document images using sparse representation. IEEE International Conference on Image Processing - ICIP'2011, Sep 2011, Brussels, Belgium. pp.3549 - 3552, ⟨10.1109/ICIP.2011.6116482⟩. ⟨inria-00593510⟩



Record views


Files downloads