Abstract: A signal processing apparatus and concomitant method for learning and using fidelity metric as a control mechanism and to process large quantities of fidelity metrics from a visual discrimination measure (VDM) to a manageable subjective image quality ratings. The signal processing apparatus incorporates a VDM and a neural network. The VDM receives input image sequences and generates fidelity metrics, which are received by a neural network. The neural network is trained to learn and use the fidelity metrics as a control mechanism, e.g., to control a video encoder.

Abstract: A television signal processing apparatus includes at least one neural network for processing a signal representing an image. The neural network includes a plurality of perceptrons each of which includes circuitry for weighting a plurality of delayed representations of said signal, circuitry for providing sums of weighted signals provided by said weighting circuitry, and circuitry for processing said sums with a sigmoidal transfer function. The neural network also includes circuitry for combining output signals provided by ones of said perceptrons for providing a processed signal.