Super resolution for surveillance application

Surveillance activities often require zooming into a region of interest (ROI) in an image such as a face of a suspect or the number plate of a vehicle. However because of hardware limitations of image acquisition devices, the zoom would contain a lot of pixel artifacts and insufficient detail. Super...

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Bibliographic Details
Main Author:	Anand Pakiam, Gerard
Format:	Thesis
Published:	2007
Subjects:	TK Electrical engineering Electronics Nuclear engineering
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id	my-utm-ep.5762
record_format	uketd_dc
spelling	my-utm-ep.57622020-07-22T04:35:54Z Super resolution for surveillance application 2007-05 Anand Pakiam, Gerard TK Electrical engineering. Electronics Nuclear engineering Surveillance activities often require zooming into a region of interest (ROI) in an image such as a face of a suspect or the number plate of a vehicle. However because of hardware limitations of image acquisition devices, the zoom would contain a lot of pixel artifacts and insufficient detail. Super resolution (SR) is an image processing technique of reconstructing a high resolution (HR) image from several low resolution (LR) images. The methodology taken to achieve this can be divided into preprocessing and image processing. In preprocessing colour image frames will be selected from video footage of a scene with object movements. These images would be cropped to isolate ROI and also minimize processing time. The SR processing used is a frequency domain approach. The RGB (Red Green Blue) images will be processed as individual components and then concatenated using several function from the MATLAB Image Processing Toolbox (IPT) and also several standard MATLAB functions. The resulting SR image shows an increase of 177% in pixel count. The image also contains more detail, that can be exploited for zooming in surveillance applications. From the result analysis the optimum number of LR input images required for generating a SR image is between four to six images. This is a cut off in terms of computational efficiency and also reconstructed image quality. 2007-05 Thesis http://eprints.utm.my/id/eprint/5762/ masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Anand Pakiam, Gerard Super resolution for surveillance application
description	Surveillance activities often require zooming into a region of interest (ROI) in an image such as a face of a suspect or the number plate of a vehicle. However because of hardware limitations of image acquisition devices, the zoom would contain a lot of pixel artifacts and insufficient detail. Super resolution (SR) is an image processing technique of reconstructing a high resolution (HR) image from several low resolution (LR) images. The methodology taken to achieve this can be divided into preprocessing and image processing. In preprocessing colour image frames will be selected from video footage of a scene with object movements. These images would be cropped to isolate ROI and also minimize processing time. The SR processing used is a frequency domain approach. The RGB (Red Green Blue) images will be processed as individual components and then concatenated using several function from the MATLAB Image Processing Toolbox (IPT) and also several standard MATLAB functions. The resulting SR image shows an increase of 177% in pixel count. The image also contains more detail, that can be exploited for zooming in surveillance applications. From the result analysis the optimum number of LR input images required for generating a SR image is between four to six images. This is a cut off in terms of computational efficiency and also reconstructed image quality.
format	Thesis
qualification_level	Master's degree
author	Anand Pakiam, Gerard
author_facet	Anand Pakiam, Gerard
author_sort	Anand Pakiam, Gerard
title	Super resolution for surveillance application
title_short	Super resolution for surveillance application
title_full	Super resolution for surveillance application
title_fullStr	Super resolution for surveillance application
title_full_unstemmed	Super resolution for surveillance application
title_sort	super resolution for surveillance application
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2007
_version_	1747814606631337984

Super resolution for surveillance application

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