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Image Coding and Analysis Lab
Data compression, image analysis, human visual system models, and natural scenes
007 Engineering South
School of Electrical and Computer Engineering
Oklahoma State University
Stillwater, OK 74078 USA
Phone: (405) 744-7314

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About the Image Coding and Analysis Lab

Research in the Image Coding and Analysis 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:
  • CSIQ: Categorical Image Quality Database
  • New models of visual masking based on classification
  • Automated region-of-interest detection and level-of-interest estimation
  • Main subject detection in images and video
  • Image quality assessment based on models of human vision
  • Estimating the information content in natural scenes
  • Algorithm-architecture co-design for model-based coding

Some of our past work includes:
  • 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 research are available from our publications.
 
 
 
 
 
 

Lab Announcements

Former lab member Eric Larson will be presenting our work on image quality assessment titled "Most Apparent Distortion" at the SPIE: Image Quality conference in January 2009.
Two research projects from the Image Coding and Analysis Lab were presented at the 2008 International Conference on Image Processing (ICIP) in San Diego, CA.
   
 
 
 

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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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