| abstract |
A neural network is applied to imagery including a machine readable code, to transform its appearance while maintaining its machine readability. One particular method includes training a neural network with a style image having various features. The trained network is then applied to an input pattern that encodes a plural-symbol payload. The network adapts features from the style image to express details of the input pattern, to thereby produce an output image in which features from the style image contribute to encoding of the plural-symbol payload. This output image can then be used as a graphical component in product packaging, such as a background, border, or pattern fill. In some embodiments, the input pattern is a watermark pattern, while in others it is a host image that has been previously watermarked. A great variety of other features and arrangements are also detailed. |