Scene statistics

Biological perceptual systems have evolved in response to physical properties of natural environments.

Geisler (2008)[4] distinguishes between four kinds of domains: (1) Physical environments, (2) Images/Scenes, (3) Neural responses, and (4) Behavior.

Across-domain statistics determine how an autonomous system should make inferences about its environment, process information, and control its behavior.

One of the most successful applications of Natural Scenes Statistics Models has been perceptual picture and video quality prediction.

For example, the Visual Information Fidelity (VIF) algorithm, which is used to measure the degree of distortion of pictures and videos, is used extensively by the image and video processing communities to assess perceptual quality, often after processing, such as compression, which can degrade the appearance of a visual signal.

Image [ 3 ] generated from a database of segmented leaves that simultaneously registers natural images (scene information) with the exact locations of leaf boundaries (information about the physical environment). Such a database can be used to study across-domain statistics.