Abstract: Features from a style image are adapted to express a machine-readable code. For example, grains of rice depicted in a style image may be positioned to create a pattern mimicking that of a machine-readable code. The resulting output image can then be used as a graphical component in product packaging (e.g., as a background, border, or pattern fill), while also serving to convey a product identifier to a compliant reader device (e.g., a retail point-of-sale terminal). In some embodiments, a neural network is trained to apply a particular style image to machine readable codes. A great variety of other features and arrangements are also detailed.

Abstract: Features from a style image are adapted to express a machine-readable code. For example, grains of rice depicted in a style image may be positioned to create a pattern mimicking that of a machine-readable code. The resulting output image can then be used as a graphical component in product packaging (e.g., as a background, border, or pattern fill), while also serving to convey a product identifier to a compliant reader device (e.g., a retail point-of-sale terminal). In some embodiments, a neural network is trained to apply a particular style image to machine readable codes. A great variety of other features and arrangements are also detailed.

Abstract: A vector graphics file includes at least one artwork layer and at least one watermark layer. The watermark layer comprises a pattern of vector graphics primitives, each of which is filled with a color that is a tinted variant of the color of the location in the artwork that the primitive overlies. Such layered arrangement enables the watermark to be added or omitted, and varied in strength, payload and appearance, at will. Yet the artwork is left unchanged through such manipulations. In some embodiments the watermark conveys a multi-symbol Global Trade Item Number (GTIN), and the file is used to generate a label or packaging for a food or general merchandise retail item. A great number of other arrangements, features and advantages are also detailed.

Abstract: A vector graphics file includes at least one artwork layer and at least one watermark layer. The watermark layer comprises a pattern of vector graphics primitives, each of which is filled with a color that is a tinted variant of the color of the location in the artwork that the primitive overlies. Such layered arrangement enables the watermark to be added or omitted, and varied in strength, payload and appearance, at will. Yet the artwork is left unchanged through such manipulations. In some embodiments the watermark conveys a multi-symbol Global Trade Item Number (GTIN), and the file is used to generate a label or packaging for a food or general merchandise retail item. A great number of other arrangements, features and advantages are also detailed.

Abstract: A vector graphics file includes at least one artwork layer and at least one watermark layer. The watermark layer comprises a pattern of vector graphics primitives, each of which is filled with a color that is a tinted variant of the color of the location in the artwork that the primitive overlies. Such layered arrangement enables the watermark to be added or omitted, and varied in strength, payload and appearance, at will. Yet the artwork is left unchanged through such manipulations. In some embodiments the watermark conveys a multi-symbol Global Trade Item Number (GTIN), and the file is used to generate a label or packaging for a food or general merchandise retail item. A great number of other arrangements, features and advantages are also detailed.

Abstract: Artwork carrying machine readable data is generated by editing artwork according to a data signal or transforming the data signal into artwork. The machine-readable data signal is generated from a digital payload and converted into an image tile. Artwork is edited according to the image tile by moving graphic elements, adapting intersections of lines, or altering line density, among other techniques. Artwork is generated from the data signal by skeletonizing it and applying morphological operators to a skeletal representation, such as a medial axis transform. Artistic effects are introduced by filtering the data signal with directional blurring or shape filters.

Abstract: Features from a style image are adapted to express a machine-readable code. For example, grains of rice depicted in a style image may be positioned to create a pattern mimicking that of a machine-readable code. The resulting output image can then be used as a graphical component in product packaging (e.g., as a background, border, or pattern fill), while also serving to convey a product identifier to a compliant reader device (e.g., a retail point-of-sale terminal). In some embodiments, a neural network is trained to apply a particular style image to machine readable codes. A great variety of other features and arrangements are also detailed.

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.

Abstract: Artwork carrying machine readable data is generated by editing artwork according to a data signal or transforming the data signal into artwork. The machine-readable data signal is generated from a digital payload and converted into an image tile. Artwork is edited according to the image tile by moving graphic elements, adapting intersections of lines, or altering line density, among other techniques. Artwork is generated from the data signal by skeletonizing it and applying morphological operators to a skeletal representation, such as a medial axis transform. Artistic effects are introduced by filtering the data signal with directional blurring or shape filters.