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Computational Perception and Image Quality Lab
Data compression, image analysis, human visual system models, and natural scenes
318 Advanced Technology Research Center
School of Electrical and Computer Engineering
Oklahoma State University
Stillwater, OK 74078 USA
Phone: (405) 744-2192

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About the Computational Perception and Image Quality Lab

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:
 
Full-Reference and No-Reference Image and Video Quality Assessment: CSIQ, VSNR, MAD, S3, FISH, DESIQUE, NJQA, and many more...
ViS3 An Algorithm for Video Quality Assessment via Analysis of Spatial and Spatiotemporal Slices
Content-Based Image and Video Coding Using Higher-Level Models of Human Vision (NSF CAREER Award to D. M. Chandler)
S3 Measure of Local Perceived Sharpness in Natural Images
CSIQ: Categorical Image Quality Database
MAD: The Most Apparent Distortion: A Dual-Strategy for Image Quality Assessment

Main Subject Detection via Adaptive Feature Refinement

Visually Optimal Compression of Medical Imagery
New models of visual masking based on classification
Estimating the information content in natural scenes
VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio
Visual Detection and Summation in Natural Scenes
DCQ: Dynamic Contrast-Based Quantization for JPEG-2000
Response Normalization in Retinal Ganglion Cells
 
More details on our projects are available from our projects' page.

More details on our research are available from our publications.
 
 
 
 
 
 

Lab Announcements

Two of our recent studies on visual psychophysics using natural scenes are currently in press at JOV. See our publications page for preprints.

Yi Zhang's work Complex-Valued NR IQA was published in Signal Processing: Image Communication, July 2014. [Joint work with Anush Moorthy and Alan Bovik]
Thien Phan's work on Microarchitectural Analysis of IQA Algorithms was published in Journal of Electronic Imaging, February 2014. [Joint work with Siddharth Shah and Sohum Sohoni]
Phong Vu's work on Video Quality Assessment was published in Journal of Electronic Imaging, February 2014.
Alireza Golestaneh's work on NR IQA of JPEG images was published in IEEE Signal Processing Letters, February 2014.
Alireza Golestaneh's work on JPEG artifact removal was published in Journal of Electronic Imaging, January 2014.
Damon Chandler's 53-page review paper on image quality assessment was published in ISRN Signal Processing, February 2013.
   
 
 
 

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Collaborators

Visual Communications Lab (Cornell; S. S. Hemami)
Field Lab (Cornell; D. J. Field)
CEASAR Lab (OSU; S. Sohoni)
Dan Graham (Dartmouth Math)
C++Builder Developer's Journal
 
 
 
 
 
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