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Reconstruction of Digital Document Images from Scribbled Sketches

Abu Hassan, Mohd Ridhwan (2009) Reconstruction of Digital Document Images from Scribbled Sketches. Universiti Teknologi PETRONAS. (Unpublished)

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The presence of artifacts and defects in digital images compromise their homogeneity. This problem however can be unraveled by having the defective regions to be recognized manually, removed and filled. Comes image inpainting, this predicament is no longer an intricate task. Still, the need for human intervention in identifying defective regions curtails its autonomy and robusity. Thus, the author intends to discuss some fundamental ideas behind image inpainting, removal and an ingenious way of filling those blank holes dubbed "texture synthesis". This report concisely reviews the concept of image inpainting, right from the semi-automatic removal of defective regions by simulating Photoshop's Magic Wand tool using color segmentation and filling-in the blank holes as the results of removing non textual objects with a plausible result to the human eye. This project focuses on reconstructing digital images with textual components. To achieve this, the author implements software prototyping in constructing the software program to realize the objectives using MATLAB and C++. Finally, the author conducted various analyses on the accuracy and performance ofthe software program.

Item Type: Final Year Project
Academic Subject : Academic Department - Information Communication Technology
Subject: T Technology > T Technology (General)
Divisions: Sciences and Information Technology
Depositing User: Users 2053 not found.
Date Deposited: 22 Oct 2013 11:19
Last Modified: 22 Oct 2013 11:19
URI: http://utpedia.utp.edu.my/id/eprint/9236

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