Sharpening an unfocused image using the non-blind deblurring method
Blurring has commonly plagued images and photographs, and it usually occurs due to motion during the capturing of an image, low light intensity from the environment, weather conditions, etc. This in turn leads to a degradation of quality and loss of important details in the image. In order to revers...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/166729 |
| _version_ | 1811676260379656192 |
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| author | Goh, Jonathan Ming Han |
| author2 | Cuong Dang |
| author_facet | Cuong Dang Goh, Jonathan Ming Han |
| author_sort | Goh, Jonathan Ming Han |
| collection | NTU |
| description | Blurring has commonly plagued images and photographs, and it usually occurs due to motion during the capturing of an image, low light intensity from the environment, weather conditions, etc. This in turn leads to a degradation of quality and loss of important details in the image. In order to reverse this effect, image deblurring has been of the prime solution and is popularly utilised in recent years due to the interest in its research.
In this project, a detailed study on the Non-Blind Deblurring Method, Types of Blurring involved and also a comparison among the different image deblurring techniques available in the current market. These techniques are tested according to their performance, blurring type, Peak Signal-to-Noise Ratio (PSNR).
This project also involves integrating the MATLAB image processing toolbox into a MATLAB application with an intuitive Graphical User Interface (GUI). This application allows the user to view the various blurring and deblurring effects that are applied on the original input images, as well as saving them for any reference in the future. |
| first_indexed | 2024-10-01T02:18:39Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/166729 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:18:39Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1667292023-07-07T16:05:04Z Sharpening an unfocused image using the non-blind deblurring method Goh, Jonathan Ming Han Cuong Dang School of Electrical and Electronic Engineering HCDang@ntu.edu.sg Engineering::Electrical and electronic engineering::Computer hardware, software and systems Blurring has commonly plagued images and photographs, and it usually occurs due to motion during the capturing of an image, low light intensity from the environment, weather conditions, etc. This in turn leads to a degradation of quality and loss of important details in the image. In order to reverse this effect, image deblurring has been of the prime solution and is popularly utilised in recent years due to the interest in its research. In this project, a detailed study on the Non-Blind Deblurring Method, Types of Blurring involved and also a comparison among the different image deblurring techniques available in the current market. These techniques are tested according to their performance, blurring type, Peak Signal-to-Noise Ratio (PSNR). This project also involves integrating the MATLAB image processing toolbox into a MATLAB application with an intuitive Graphical User Interface (GUI). This application allows the user to view the various blurring and deblurring effects that are applied on the original input images, as well as saving them for any reference in the future. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-10T04:33:17Z 2023-05-10T04:33:17Z 2023 Final Year Project (FYP) Goh, J. M. H. (2023). Sharpening an unfocused image using the non-blind deblurring method. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166729 https://hdl.handle.net/10356/166729 en A2070-221 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering::Computer hardware, software and systems Goh, Jonathan Ming Han Sharpening an unfocused image using the non-blind deblurring method |
| title | Sharpening an unfocused image using the non-blind deblurring method |
| title_full | Sharpening an unfocused image using the non-blind deblurring method |
| title_fullStr | Sharpening an unfocused image using the non-blind deblurring method |
| title_full_unstemmed | Sharpening an unfocused image using the non-blind deblurring method |
| title_short | Sharpening an unfocused image using the non-blind deblurring method |
| title_sort | sharpening an unfocused image using the non blind deblurring method |
| topic | Engineering::Electrical and electronic engineering::Computer hardware, software and systems |
| url | https://hdl.handle.net/10356/166729 |
| work_keys_str_mv | AT gohjonathanminghan sharpeninganunfocusedimageusingthenonblinddeblurringmethod |