Psychophysiologically motivated method for estimating the amount of information in an image

Abstract

Psychophysiologically motivated method for estimating the amount of information in an image

Yavna D.V., Babenko V.V.

Incoming article date: 14.12.2014

The paper proposes a method of calculating the amount of visual information in an image. The method is based on the model of local analysis in the early vision. We are talking about the information perceived by an observer under certain conditions, not about the information contained in the raster image per se. Simple striate cortex neurons respond to the simple visual features of image, for example, the bright stripes in a dark environment, and the brightness gradients. To evaluate the amount of information in the image, it is possible to take the ratio of the number of activated neurons to the total number of neurons in a model. It is necessary to consider the angular size of the image to calculate the value of the estimate.

Keywords: Simple visual feature, raster image, information, entropy, redundancy, simple striate neuron, Gabor function, computer simulation