Document Type
Conference Proceeding
Publication Date
2011
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.
Copyright Statement
© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. http://doi.org/10.1109/ICIP.2011.6116482
Publication Information
Hoang, Thai V.; Barney Smith, Elisa; and Tabbone, Salvatore. (2011). "Edge Noise Removal in Bilevel Graphical Document Images Using Sparse Representation". In 2011 18th IEEE International Conference on Image Processing (ICIP) (pp. 3549-3552). IEEE. https://doi.org/10.1109/ICIP.2011.6116482