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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Bibliographic Details
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
Description
Summary: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.

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