Abstract: A method of processing a time-varying signal in a signal processing system. Data representative of one or more first time samples of the time-varying signal is received at an artificial neural network, ANN. The received data is processed using the ANN to generate predicted data representative of a second time sample of the time-varying signal, the second time sample being later than the one or more first time samples. The ANN is trained to predict data representative of time samples of time-varying signals based on data representative of earlier time samples of the time-varying signals. The signal processing system processes the predicted data representative of the second time sample in place of a third time sample of the time-varying signal, the third time sample being earlier than the second time sample.

Abstract: A computer-implemented method of processing image data using a model of the human visual system. The model comprises a first artificial neural network system trained to generate the first output data using one or more differentiable functions configured to model the generation of signals from images by the human eye, and a second artificial neural network system trained to generate the second output data using one or more differentiable functions configured to model the processing of signals from the human eye by the human visual cortex. The method comprises receiving image data representing one or more images, processing the received image data using the first artificial neural network system to generate first output data, processing the first output data using a second artificial neural network system to generate second output data. Model output data is determined from the second output data, and output for use in an image processing process.

Abstract: A method of processing image data is provided. Pixel data for a first image is preprocessed to identify a subset of the pixel data corresponding to a region of interest depicting a scene element. The subset of the pixel data is processed at a first encoder to generate a first data structure representative of the region of interest, the first data structure identifying the scene element depicted in the region of interest. The subset of pixel data is also processed at a second encoder to generate a second data structure representative of the region of interest, the second data structure comprising values for visual characteristics associated with the scene element. The first and second data structures are outputted for use by a decoder to generate a second image approximating the region of interest of the first image.