Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/48452
Title: Perceptual image processing algorithm benchmarking
Authors: Nur Shabrina Rusli.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2012
Abstract: 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.
URI: http://hdl.handle.net/10356/48452
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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