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|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||Citation:||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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