Super-resolution imaging and its applications

Super Resolution is an image processing technique that aims to generate high resolution (HR) images by utilizing a sequence of sub-pixel shifted low resolution (LR) images. During the past twenty years, most of the SR techniques have been applied on regular images taken with a hand-held camera. Howe...

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Main Author: Xu, Di.
Other Authors: Lin Zhiping
Format: Final Year Project
Language:English
Published: 2011
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Online Access:http://hdl.handle.net/10356/45586
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-455862023-07-07T18:07:19Z Super-resolution imaging and its applications Xu, Di. Lin Zhiping School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Super Resolution is an image processing technique that aims to generate high resolution (HR) images by utilizing a sequence of sub-pixel shifted low resolution (LR) images. During the past twenty years, most of the SR techniques have been applied on regular images taken with a hand-held camera. However, application of SR in the field of biomedicine is a state-of-the-art area for research. In fact, SR has not yet been applied in a Photo-thermal Imaging (PTI) system which provides a resolution exceeding the diffraction limit. Therefore, in this project, a PTI system has been built up to obtain the Photo-thermal images of Red Polystyrene Beads and Red Blood Cells. Since the existing equipment has encountered some undesired problems during the experiment, a new CCD camera and a piezoelectric stage have been embedded into the PTI system. And the MATLAB programs have been modified accordingly to make the new equipment compatible with the system. By moving the highly sensitive piezoelectric stage with an accuracy of 0.1nm, several sets of sub-pixel shifted PTI images could be obtained. Then SR has been implemented on these acquired LR PTI images. It has been found that SR techniques were not as straightforward for microscopic images compared to normal images, and many limitations need to be overcome to get good results. Therefore three different methods of SR were applied on these LR images for comparison. By adopting the optimum method, each sequence of LR images was able to generate a high quality HR image. SR shows significant improvement in the processed images as compared to the original PTI images, mainly in terms of resolution, sharpness and contrast. Bachelor of Engineering 2011-06-15T05:51:02Z 2011-06-15T05:51:02Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/45586 en Nanyang Technological University 69 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Xu, Di.
Super-resolution imaging and its applications
description Super Resolution is an image processing technique that aims to generate high resolution (HR) images by utilizing a sequence of sub-pixel shifted low resolution (LR) images. During the past twenty years, most of the SR techniques have been applied on regular images taken with a hand-held camera. However, application of SR in the field of biomedicine is a state-of-the-art area for research. In fact, SR has not yet been applied in a Photo-thermal Imaging (PTI) system which provides a resolution exceeding the diffraction limit. Therefore, in this project, a PTI system has been built up to obtain the Photo-thermal images of Red Polystyrene Beads and Red Blood Cells. Since the existing equipment has encountered some undesired problems during the experiment, a new CCD camera and a piezoelectric stage have been embedded into the PTI system. And the MATLAB programs have been modified accordingly to make the new equipment compatible with the system. By moving the highly sensitive piezoelectric stage with an accuracy of 0.1nm, several sets of sub-pixel shifted PTI images could be obtained. Then SR has been implemented on these acquired LR PTI images. It has been found that SR techniques were not as straightforward for microscopic images compared to normal images, and many limitations need to be overcome to get good results. Therefore three different methods of SR were applied on these LR images for comparison. By adopting the optimum method, each sequence of LR images was able to generate a high quality HR image. SR shows significant improvement in the processed images as compared to the original PTI images, mainly in terms of resolution, sharpness and contrast.
author2 Lin Zhiping
author_facet Lin Zhiping
Xu, Di.
format Final Year Project
author Xu, Di.
author_sort Xu, Di.
title Super-resolution imaging and its applications
title_short Super-resolution imaging and its applications
title_full Super-resolution imaging and its applications
title_fullStr Super-resolution imaging and its applications
title_full_unstemmed Super-resolution imaging and its applications
title_sort super-resolution imaging and its applications
publishDate 2011
url http://hdl.handle.net/10356/45586
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