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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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Damon Chandler's
53-page review paper on
image quality assessment
was published in ISRN
Signal Processing in
Feb. 2013. |
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Phong Vu's work on video
quality assessment was
presented at VPQM 2013. |
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Yi Zhang, Mushfiqual
Alam, Phong Vu, and
Punit Singh each
presented their
respective papers at
SPIE Electronic Imaging
2013. |
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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.
