Hardware Acceleration of a Neighborhood Dependent Component Feature Learning (NDCFL) Super-Resolution Algorithm

Hardware Acceleration of a Neighborhood Dependent Component Feature Learning (NDCFL) Super-Resolution Algorithm

Bibliographic Details
Main Author: Mathari Bakthavatsalam, Pagalavan
Language:English
Published: University of Dayton / OhioLINK 2013
Subjects:
Electrical Engineering
Computer Engineering
Engineering
GPU
CUDA
GPGPU
Super-resolution on GPU
Acceleration of super-resolution
Image Processing
NDCFL
super-resolution
GPU acceleration
Accelerating Image processing algorithm using GPU
Multi-core acceleration
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=dayton1366034621
id ndltd-OhioLink-oai-etd.ohiolink.edu-dayton1366034621
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-dayton13660346212021-08-03T05:22:06Z Hardware Acceleration of a Neighborhood Dependent Component Feature Learning (NDCFL) Super-Resolution Algorithm Mathari Bakthavatsalam, Pagalavan Electrical Engineering Computer Engineering Engineering GPU CUDA GPGPU Super-resolution on GPU Acceleration of super-resolution Image Processing NDCFL super-resolution GPU acceleration Accelerating Image processing algorithm using GPU Multi-core acceleration Image processing and computer vision algorithms allow computers to make sense of pictures and video seen through cameras. These have applications in a large variety of “real time” applications like surveillance, intelligence gathering, robotics, automobile driving, aviation, etc., where the picture from the video needs to be processed by a computer as soon as it is taken. However these algorithms are time intensive because of its compute bound nature. In this literature, a single image super resolution algorithm based on Neighborhood Dependent Component Feature Learning (NDCFL) is accelerated by multiple GPUs and multiple CPU cores, using NVIDIA’s Computer Unified Device Architecture (CUDA), OpenCV and POSIX threads. Given a low resolution input, this method uses image features to adaptively learn the regression kernel based on local covariance to estimate the high resolution image. The accelerated implementation performs at speed 51 times faster than that of original implementation for 590X580 frame, and achieves processing rate close to real-time. 2013-05-22 English text University of Dayton / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=dayton1366034621 http://rave.ohiolink.edu/etdc/view?acc_num=dayton1366034621 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.
collection NDLTD
language English
sources NDLTD
topic Electrical Engineering
Computer Engineering
Engineering
GPU
CUDA
GPGPU
Super-resolution on GPU
Acceleration of super-resolution
Image Processing
NDCFL
super-resolution
GPU acceleration
Accelerating Image processing algorithm using GPU
Multi-core acceleration
spellingShingle Electrical Engineering
Computer Engineering
Engineering
GPU
CUDA
GPGPU
Super-resolution on GPU
Acceleration of super-resolution
Image Processing
NDCFL
super-resolution
GPU acceleration
Accelerating Image processing algorithm using GPU
Multi-core acceleration

Mathari Bakthavatsalam, Pagalavan
Hardware Acceleration of a Neighborhood Dependent Component Feature Learning (NDCFL) Super-Resolution Algorithm
author Mathari Bakthavatsalam, Pagalavan
author_facet Mathari Bakthavatsalam, Pagalavan
author_sort Mathari Bakthavatsalam, Pagalavan
title Hardware Acceleration of a Neighborhood Dependent Component Feature Learning (NDCFL) Super-Resolution Algorithm
title_short Hardware Acceleration of a Neighborhood Dependent Component Feature Learning (NDCFL) Super-Resolution Algorithm
title_full Hardware Acceleration of a Neighborhood Dependent Component Feature Learning (NDCFL) Super-Resolution Algorithm
title_fullStr Hardware Acceleration of a Neighborhood Dependent Component Feature Learning (NDCFL) Super-Resolution Algorithm
title_full_unstemmed Hardware Acceleration of a Neighborhood Dependent Component Feature Learning (NDCFL) Super-Resolution Algorithm
title_sort hardware acceleration of a neighborhood dependent component feature learning (ndcfl) super-resolution algorithm
publisher University of Dayton / OhioLINK
publishDate 2013
url http://rave.ohiolink.edu/etdc/view?acc_num=dayton1366034621
work_keys_str_mv AT matharibakthavatsalampagalavan hardwareaccelerationofaneighborhooddependentcomponentfeaturelearningndcflsuperresolutionalgorithm
_version_ 1719419013202706432

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