SHENODA, SAMEH ZARIF FAHIM (2015) MULTICHANNEL IMAGE AND VIDEO INPAINTING BASED ON STATISTICAL TEXTURE ANALYSIS. Doctoral thesis, Universiti Teknologi PETRONAS.
2014 -INFORMATION TECHNOLOGY - MULTICHANNEL IMAGE & VIDEA INPAINTING BASED ON STATISTICAL TEXTURE ANALYSIS - SAMEH ZARIF FAHIM SHENODA.pdf
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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 (Doctoral) |
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Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Departments / MOR / COE: | Sciences and Information Technology > Computer and Information Sciences |
Depositing User: | Mr Ahmad Suhairi Mohamed Lazim |
Date Deposited: | 17 Sep 2021 13:37 |
Last Modified: | 25 Jul 2024 01:18 |
URI: | http://utpedia.utp.edu.my/id/eprint/21354 |