Model observers for assessment of image quality

Image quality should be defined and assessed in terms of specific tasks and observers. For classification tasks, the observers can be humans, computer algorithms, or a theoretical construct called the Ideal Observer. In this talk, we review the current state of knowledge regarding computational methods for predicting the performance of human observers and estimating the performance of the Ideal Observer.