Super-resolution using Blackfin 537
High resolution images find their use in most of today's applications. One such application may be the use of such high-resolution images to check for defects on printed circuit boards. However, the purchase of high-end imaging sensors may not be economically practical. In this case, many have...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
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Animo Repository
2007
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/14301 |
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| Institution: | De La Salle University |
| Language: | English |
| Summary: | High resolution images find their use in most of today's applications. One such application may be the use of such high-resolution images to check for defects on printed circuit boards. However, the purchase of high-end imaging sensors may not be economically practical. In this case, many have turned to software algorithms which can significantly increase the resolution of a low-resolution camera from a series of images. This study aims to develop a system which uses a low-resolution camera to produce an image of higher resolution by stitching images in a translational manner, using cross-correlation for the alignment of images. To achieve this, it will also be necessary to correct any distortion that may be introduced by the camera lens. This process requires camera calibration and the use of interpolation techniques for correction. The entire algorithm is to be implemented on the Blackfin 537. |
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