Abstract: An image processing system acquires a digital image and determines notional weights for each pixel in the image. The notional weight of each pixel relates to the pixel's color value of the pixel and may include adjustments. The system uses the notional weights for each pixel to determine a center of balance (CoB) for the image. The system may then determine an eccentricity of the CoB based on a distance between the CoB and a specified location in the digital image. The system may calculate an aesthetic score for the digital image as a function of the determined eccentricity. The system may display an augmented reality overlay on the image to show the CoB and/or other determined features. The system may use the CoB, eccentricity or aesthetic value to help improve a real-time image capture process, in a security protocol, and/or to determine whether to retain an image in memory.

Abstract: An image processing system acquires a digital image and determines notional weights for each pixel in the image. The notional weight of each pixel relates to the pixel's color value of the pixel and may include adjustments. The system uses the notional weights for each pixel to determine a center of balance (CoB) for the image. The system may then determine an eccentricity of the CoB based on a distance between the CoB and a specified location in the digital image. The system may calculate an aesthetic score for the digital image as a function of the determined eccentricity. The system may display an augmented reality overlay on the image to show the CoB and/or other determined features. The system may use the CoB, eccentricity or aesthetic value to help improve a real-time image capture process, in a security protocol, and/or to determine whether to retain an image in memory.