Super-resolution using Blackfin 537
Date of Publication
2007
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
Subject Categories
Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Edwin Sybingco
Defense Panel Member
Cesar A. Llorente
Jingel A. Tio
Abstract/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.
Abstract Format
html
Language
English
Format
Accession Number
TU13979
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
122, [86] leaves : ill. ; 28 cm.
Keywords
Imaging systems; Image processing--Digital techniques
Recommended Citation
Fortunado, K. U., Gamboa, J. P., Garcia, C. C., & Suguitan, M. D. (2007). Super-resolution using Blackfin 537. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/14301
