Skip to Main content Skip to Navigation
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

https://hal.inria.fr/inria-00593510
Contributor : Thai V. Hoang <>
Submitted on : Monday, May 16, 2011 - 12:55:38 PM
Last modification on : Friday, February 26, 2021 - 3:28:08 PM
Long-term archiving on: : Wednesday, August 17, 2011 - 2:36:48 AM

File

ICIP2011_sparse.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

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⟩

Share

Metrics

Record views

365

Files downloads

461