Efficient estimation of ideal-observer performance in classification tasks involving high-dimensional complex backgrounds
Spotlight summary: The use of the Bayesian ideal observer approach to image quality assessment can be highly advantageous but has been hampered by computational complexity for real-life statistics. The current procedure develops a fast Markov-chain model for real-time estimation of channelized ideal observer computations.
|OCIS Codes:||(110.3000) Imaging systems : Image quality assessment|
|(330.1880) Vision, color, and visual optics : Detection|
|(330.6100) Vision, color, and visual optics : Spatial discrimination|
You must log in to add comments.