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MULTICHANNEL IMAGE AND VIDEO INPAINTING BASED ON STATISTICAL TEXTURE ANALYSIS

SHENODA, SAMEH ZARIF FAHIM (2014) MULTICHANNEL IMAGE AND VIDEO INPAINTING BASED ON STATISTICAL TEXTURE ANALYSIS. PhD thesis, Universiti Teknologi PETRONAS.

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Abstract

Reconstruction and completion of damaged regions after object removal of digital image and video is an important trend, which has been extensively used in artwork restoration. Image and video completion are interesting new research topics in image, video processing and multimedia computing available since 2000, which deals with the recovery of original data. The purpose of image and video completion is to modifY and repair the damaged structure and texture regions in a non-detectable way for an observer not familiar with the original image or video. There are widespread applications for image and video completion including image and video coding, wireless image and video transmission (e.g. recovering lost blocks), special effects (e.g. removal of unwanted objects), image and video restoration (e.g. scratch removal), removal of occlusions (e.g .. text, subtitle, logos, stamps), removal of information from aerial images and videos like orientation and location. Other applications include annotation removal from medical and military images and videos.

Item Type: Thesis (PhD)
Academic Subject : Academic Department - Information Communication Technology
Subject: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 17 Sep 2021 13:37
Last Modified: 17 Sep 2021 13:37
URI: http://utpedia.utp.edu.my/id/eprint/21354

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