Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/35862
Title: Document image enhancement
Authors: SU BOLAN
Keywords: Document Image Processing, Document Image Binarization, Document Image Deblurring, Text Recognition, Web Image, Document Image Analysis
Issue Date: 10-Aug-2012
Source: SU BOLAN (2012-08-10). Document image enhancement. ScholarBank@NUS Repository.
Abstract: Document image enhancing aims to improve the document image quality, which not only enhance human perception, but also facilitate the subsequent automated image processing. Document image enhancing is a difficult problem, because : 1) The information it aims to recover could be lost in many cases; 2) Different ways of image distortion could lead to the same degraded document image. This thesis focuses on three aspects of the document enhancement techniques including document image binarization, web image recognition and document image deblurring. we have proposed several document enhancement techniques that have been tested on some public datasets and shown superior performance.
URI: http://scholarbank.nus.edu.sg/handle/10635/35862
Appears in Collections:Ph.D Theses (Open)

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