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About
the Computational Perception and Image Quality Lab
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 Research
in the Computational Perception and Image Quality Lab broadly
concerns coding and
analysis of visual
information.
We
study topics in image
processing, including
image modeling,
analysis, and
compression, as well as
topics in visual coding
and perception,
including natural scene
statistics and visual
psychophysics.
We are currently researching projects in:More details on our projects are available from our projects' page.
Some of our past
work includes:
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VSNR: A
Wavelet-Based
Visual
Signal-to-Noise
Ratio
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Visual Detection
and Summation in
Natural Scenes
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DCQ: Dynamic
Contrast-Based
Quantization for
JPEG-2000
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Response
Normalization in
Retinal Ganglion
Cells
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More details on our research are available from our publications.
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Phong Vu's work on video
quality assessment was
presented by Damon
Chandler at ICIP 2011,
Brussels, Belguim, in
September 2011. |
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Kedar Vilankar presented
his work on a
tree-structured
forced-choice procedure
at IVMSP 2011, Ithaca,
NY, in June 2011. |
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Damon Chandler received
an NSF CAREER award on
Content-Based Image and
Video Coding Using
Higher-Level Models of
Human Vision in February
2011. |
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Copyright © 2004-2011 Computational Perception and Image Quality Lab. All
Rights Reserved.
