Digital image processor comprising a neural network

摘要

Taking into consideration the disadvantage that a large-scale analog neural network cannot be constructed as an LSI and, even if this were possible, the cost would be prohibitive and the network would lack universality, a digital image processor for processing input image data based upon a cellular neural network is provided with a first multiply-and-accumulate arithmetic unit for digitally processing multiplication and accumulation of input image data of a plurality of pixels and input weighting values in a predetermined area, a second multiply-and-accumulate arithmetic unit for digitally processing multiplication and accumulation of output image data of a plurality of pixels and output weighting values in a predetermined area, third multiply-and-accumulate arithmetic means for digitally processing multiplication and accumulation of output value data of a proceeding frame image and second output weighting values, and a non-linear acting unit for deciding output image data in accordance with results of calculation from the first, second and third multiply-and-accumulate arithmetic unit and non-linear characteristic parameters. This makes it possible to realize an image processor which excels in universality, ease of control and ease of integration.