Acceleration of a Locally Tuned Sine Non Linear Video Enhancement Algorithm on GPGPU
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University of Dayton / OhioLINK
2011
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ndltd-OhioLink-oai-etd.ohiolink.edu-dayton13244914952021-08-03T05:35:56Z Acceleration of a Locally Tuned Sine Non Linear Video Enhancement Algorithm on GPGPU John, Julian Daniel Computer Engineering Electrical Engineering Engineering CUDA GPU GPGPU Image Processing Acceleration of Algorithm <p>Computer Vision based applications support various domains such as medical, manufacturing, military intelligence and surveillance systems. These applications can be divided into: image acquisition, pre-processing, feature extraction, detection or segmentation, and high-level processing. However these tasks are time intensive due to the compute bound nature of the algorithm.</p><p>In this thesis, an algorithm, based on an image dependent nonlinear function, the Locally Tuned Sine Nonlinearity (LTSN), is accelerated using NVIDIA’s Computer Unified Device Architecture (CUDA) and the CPU. The main core of the algorithm is a nonlinear sine transfer function which is very flexible in enhancing the dark regions and compressing overexposed regions of an image. The video enhancement algorithm gave 21 frames per second compared to 9 frames per second for a 480p video. It is envisaged that the new technique would be useful for improving the visibility of scenes of night time driving and night security situations in real time.</p> 2011 English text University of Dayton / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=dayton1324491495 http://rave.ohiolink.edu/etdc/view?acc_num=dayton1324491495 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
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NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Computer Engineering Electrical Engineering Engineering CUDA GPU GPGPU Image Processing Acceleration of Algorithm |
| spellingShingle |
Computer Engineering Electrical Engineering Engineering CUDA GPU GPGPU Image Processing Acceleration of Algorithm John, Julian Daniel Acceleration of a Locally Tuned Sine Non Linear Video Enhancement Algorithm on GPGPU |
| author |
John, Julian Daniel |
| author_facet |
John, Julian Daniel |
| author_sort |
John, Julian Daniel |
| title |
Acceleration of a Locally Tuned Sine Non Linear Video Enhancement Algorithm on GPGPU |
| title_short |
Acceleration of a Locally Tuned Sine Non Linear Video Enhancement Algorithm on GPGPU |
| title_full |
Acceleration of a Locally Tuned Sine Non Linear Video Enhancement Algorithm on GPGPU |
| title_fullStr |
Acceleration of a Locally Tuned Sine Non Linear Video Enhancement Algorithm on GPGPU |
| title_full_unstemmed |
Acceleration of a Locally Tuned Sine Non Linear Video Enhancement Algorithm on GPGPU |
| title_sort |
acceleration of a locally tuned sine non linear video enhancement algorithm on gpgpu |
| publisher |
University of Dayton / OhioLINK |
| publishDate |
2011 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1324491495 |
| work_keys_str_mv |
AT johnjuliandaniel accelerationofalocallytunedsinenonlinearvideoenhancementalgorithmongpgpu |
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1719422274302377984 |