Perceptual image processing algorithm benchmarking

Perceptual image processing algorithm benchmarking

Since the Human Visual System (HVS) is the ultimate receiver and appreciator of natural scenes, many visual attention models have been developed and applied to various image processing applications in the past decade.In order to provide the insight for effective deployment in this project, we study...

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Main Author: Nur Shabrina Rusli.
Other Authors: Lin Weisi
Format: Final Year Project
Language:English
Published: 2012
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:http://hdl.handle.net/10356/48452
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-48452
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spelling sg-ntu-dr.10356-484522023-03-03T20:34:19Z Perceptual image processing algorithm benchmarking Nur Shabrina Rusli. Lin Weisi School of Computer Engineering Centre for Multimedia and Network Technology DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Since the Human Visual System (HVS) is the ultimate receiver and appreciator of natural scenes, many visual attention models have been developed and applied to various image processing applications in the past decade.In order to provide the insight for effective deployment in this project, we study various existing saliency detection models and different image processing techniques. The performance of the respective experiments is analyzed. Benchmarking the state-of-the-art technology is then made in the related area. Bachelor of Engineering (Computer Engineering) 2012-04-24T03:18:05Z 2012-04-24T03:18:05Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/48452 en Nanyang Technological University 54 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Nur Shabrina Rusli.
Perceptual image processing algorithm benchmarking
description Since the Human Visual System (HVS) is the ultimate receiver and appreciator of natural scenes, many visual attention models have been developed and applied to various image processing applications in the past decade.In order to provide the insight for effective deployment in this project, we study various existing saliency detection models and different image processing techniques. The performance of the respective experiments is analyzed. Benchmarking the state-of-the-art technology is then made in the related area.
author2 Lin Weisi
author_facet Lin Weisi
Nur Shabrina Rusli.
format Final Year Project
author Nur Shabrina Rusli.
author_sort Nur Shabrina Rusli.
title Perceptual image processing algorithm benchmarking
title_short Perceptual image processing algorithm benchmarking
title_full Perceptual image processing algorithm benchmarking
title_fullStr Perceptual image processing algorithm benchmarking
title_full_unstemmed Perceptual image processing algorithm benchmarking
title_sort perceptual image processing algorithm benchmarking
publishDate 2012
url http://hdl.handle.net/10356/48452
_version_ 1759853072051339264

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