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Implementation of image super-resolution on Rasberry Pi

Master of Science in Embedded System Design Engineering

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Bibliographic Details
Main Author: Comfort Abiodun, Iyanda
Other Authors: Phak Len, Eh Kan, Dr.
Format: Dissertation
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2017
Subjects:
Image processing > Digital techniques
High resolution imaging
Raspberry Pi (Computer)
Image processing
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72841
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spelling my.unimap-728412023-03-06T01:39:29Z Implementation of image super-resolution on Rasberry Pi Comfort Abiodun, Iyanda Phak Len, Eh Kan, Dr. Image processing -- Digital techniques High resolution imaging Raspberry Pi (Computer) Image processing Master of Science in Embedded System Design Engineering Improving image quality has been a bottle neck of image technology for the past few decades. High resolution is a continuous and on-going need and it becomes essential to have the best quality of image in some applications such as in forensic department where in order to receive maximum possible information, image has to be enlarged in terms of size. Image degradation that is caused by blur (as a result of motion of the scene, wrong focus and atmospheric turbulence and point spread function), sensor noise (detector sensitivity, optical imperfections and environmental changes) and aliasing (as a result of under-sampling) is produced in the process of acquiring image through an image acquisition device (Camera). Image super-resolution technique is used to compensate these degradations factors by reconstructing a high resolution image from single or multiple low resolution images to facilitate better visual contents and scene recognitions. There are many applications in which high quality image is required such as remote sensing, satellite imaging, surveillance, medical imaging etc. In this dissertation, an overview of different approaches to super resolve an image is provided, how the techniques works along with their pros and cons accordingly, recent improvements carried out by different researchers is also included. Iterative backprojection (IBP) which is one of the methods of super resolution is implemented on a Raspberry Pi in order to analyse it performance and accuracy measuring it robustness to noise. The IBP approach is conducted by starting with an initial estimate of the SR image, and then it compares the projected LR results with the observed images and updates the HR estimate according to the errors that is predicted. MATLAB is used to design the algorithm and the same code is run on Raspberry Pi with the use of GNU Octave application. The performance of IBP is confirmed by calculating the MSE and PSNR respectively. 2017 2021-11-25T01:13:32Z 2021-11-25T01:13:32Z Dissertation http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72841 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Computer and Communication Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Image processing -- Digital techniques
High resolution imaging
Raspberry Pi (Computer)
Image processing
spellingShingle Image processing -- Digital techniques
High resolution imaging
Raspberry Pi (Computer)
Image processing
Comfort Abiodun, Iyanda
Implementation of image super-resolution on Rasberry Pi
description Master of Science in Embedded System Design Engineering
author2 Phak Len, Eh Kan, Dr.
author_facet Phak Len, Eh Kan, Dr.
Comfort Abiodun, Iyanda
format Dissertation
author Comfort Abiodun, Iyanda
author_sort Comfort Abiodun, Iyanda
title Implementation of image super-resolution on Rasberry Pi
title_short Implementation of image super-resolution on Rasberry Pi
title_full Implementation of image super-resolution on Rasberry Pi
title_fullStr Implementation of image super-resolution on Rasberry Pi
title_full_unstemmed Implementation of image super-resolution on Rasberry Pi
title_sort implementation of image super-resolution on rasberry pi
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2017
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72841
_version_ 1772813062892421120
score 13.214268

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