Accelerated feature detectors for real-time vision based application
Spatial resolution is a very important quality metric to measure digital images. The higher the resolution of the image, the more image details provided. It is projected to convert the low-resolution(LR) image or video stream to high-resolution(HR) ones before they are displayed/used for analysis or...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2017
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| Online Access: | http://hdl.handle.net/10356/70555 |
| _version_ | 1811689180737044480 |
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| author | Biyani, Divesh |
| author2 | Lam Siew Kei |
| author_facet | Lam Siew Kei Biyani, Divesh |
| author_sort | Biyani, Divesh |
| collection | NTU |
| description | Spatial resolution is a very important quality metric to measure digital images. The higher the resolution of the image, the more image details provided. It is projected to convert the low-resolution(LR) image or video stream to high-resolution(HR) ones before they are displayed/used for analysis or pattern extraction. All these requirements are hopeful to be satisfied in an inexpensive manner by using super-resolution(SR) technique. To do this, different algorithms are to be looked at and in the past decade there have been many image processing algorithms. The best algorithm should be identified that suits the purpose. Recently a lot of interpolation algorithms have been proposed, but many of these are highly computationally expensive and so cannot be used for real-time applications. Apart from being computationally expensive, many of these algorithms are also space expensive, that is they take up a lot of memory and cannot completely reside in the RAM. In view of real-time applications, I would like to identify an algorithm that is both computationally inexpensive and memory efficient and use it for Super-Resolution. |
| first_indexed | 2024-10-01T05:44:00Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/70555 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:44:00Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/705552023-03-03T20:32:41Z Accelerated feature detectors for real-time vision based application Biyani, Divesh Lam Siew Kei School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering Spatial resolution is a very important quality metric to measure digital images. The higher the resolution of the image, the more image details provided. It is projected to convert the low-resolution(LR) image or video stream to high-resolution(HR) ones before they are displayed/used for analysis or pattern extraction. All these requirements are hopeful to be satisfied in an inexpensive manner by using super-resolution(SR) technique. To do this, different algorithms are to be looked at and in the past decade there have been many image processing algorithms. The best algorithm should be identified that suits the purpose. Recently a lot of interpolation algorithms have been proposed, but many of these are highly computationally expensive and so cannot be used for real-time applications. Apart from being computationally expensive, many of these algorithms are also space expensive, that is they take up a lot of memory and cannot completely reside in the RAM. In view of real-time applications, I would like to identify an algorithm that is both computationally inexpensive and memory efficient and use it for Super-Resolution. Bachelor of Engineering (Computer Engineering) 2017-04-27T06:57:23Z 2017-04-27T06:57:23Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70555 en Nanyang Technological University 37 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Biyani, Divesh Accelerated feature detectors for real-time vision based application |
| title | Accelerated feature detectors for real-time vision based application |
| title_full | Accelerated feature detectors for real-time vision based application |
| title_fullStr | Accelerated feature detectors for real-time vision based application |
| title_full_unstemmed | Accelerated feature detectors for real-time vision based application |
| title_short | Accelerated feature detectors for real-time vision based application |
| title_sort | accelerated feature detectors for real time vision based application |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | http://hdl.handle.net/10356/70555 |
| work_keys_str_mv | AT biyanidivesh acceleratedfeaturedetectorsforrealtimevisionbasedapplication |