Digimarc Corporation

Other

Trent J Brundage

Brett T Hannigan

Tony F Rodriguez

Geoffrey B Rhoads

Alastair M Reed

Hugh L Brunk

Vojtech Holub

Neil E Lofgren

Ravi K Sharma

Jerry Allen McMahan, Jr

Dean H Chadwick

Steven Michael Shovoly

John F Stach

J Scott Carr

Aruna B Kumar

Eric E Ellingson

Brett Alan Bradley

Burt W Perry

Jeremy Leigh Cattone

Osama M Alattar

Matthew M Weaver

Mahmood Sher-Jan

David A Cushman

Robert T Durst, Jr

Lou H Berkley, Jr

Tony F Rodreguez

Brian Johnson

Robert T Durst

The present disclosure relates generally to signal encoding for elements within PDF files. One implementation encodes an artwork element under different encoding conditions, and selects a winner version based on resulting signal robustness and/or visibility. Other implementations generate PDF layer masks to help determine overall embedding robustness, including interference from layered elements. Other implementations are provided too.

PDF embedder for artwork elements with PDF files

The present disclosure relates generally to signal encoding for elements within PDF files. One implementation smooths saw-toothed edges of rasterized elements meant for encoding. Other implementations are provided too.

Smoothing edges when embedding PDF artwork elements

This disclosure relates to advanced signal processing technology including signal encoding. One combination includes an apparatus comprising: memory for storing image data, the image data comprising a plurality of color separations or channels, in which the image data comprises at least a first type of machine-readable symbology comprising a 1D barcode represented therein and a second type of machine-readable symbology comprising a first signal represented therein, in which the second type of machine-readable symbology comprises a different type of machine-readable symbology relative to the first type of machine-readable symbology, the 1D barcode comprising a first plural-bit code and the first signal comprising a second plural-bit code; a barcode reader configured to analyze the image data to decode the 1D barcode to obtain the first plural-bit code; a signal decoder configured to analyze one or more color separations or channels of the plurality of color separations or channels to decode the first signal to obtain the second plural-bit code; one or more processors configured to determine whether the second plural-bit code and the first plural-bit code conflict; and to identify a conflict based on a conflict determination. Of course, other features and combinations are described as well.

Detecting conflicts between multiple different signals within imagery

This disclosure relates to image signal processing technology including signal encoding. One claim recites a method of detecting plural-bit code conflicts within an image, the image includes at least one color separation. The image includes a first plural-bit code carried by a first symbology, and a second plural-bit code carried by a second symbology, the first symbology and the second symbology comprising different symbology types. The method includes: accessing a subset of the image that comprises the first plural-bit code carried by the first symbology; analyzing the subset of the image to decode the first plural-bit code; analyzing the at least one color separation to spatially locate and decode the second plural-bit code carried by the second symbology; comparing the first plural-bit code and the second plural-bit code; and outputting information if a conflict is identified by said act of comparing, in which the information comprises a spatial location within the image of the conflict. Of course, other claims, features and combinations are described as well.

This disclosure relates to advanced signal processing technology including signal encoding and image processing. One implementation describes an encoding system including a masking module. The masking module scales or eliminates signal encoding adjustments based on an image's luminance or chrominance values. Of course, other implementations, combinations and claims are also provided.

Encoded signal systems and methods to ensure minimal robustness

This disclosure relates to advanced signal processing technology including signal encoding. One combination disclosed in the description is an image processing method comprising: accessing a design file to obtain image data, the image data comprising a plurality of color separations or channels, in which the image data comprises at least a 1D or 2D barcode represented therein and a first encoded signal encoded therein, the 1D or 2D barcode comprising a first plural-bit code and the first encoded signal comprising a second plural-bit code; operating a barcode reader to analyze the image data to decode the 1D or 2D barcode to obtain the first plural-bit code; operating a signal decoder to analyze one or more combinations of color separations or channels of the plurality of color separations or channels to decode the first encoded signal to obtain the second plural-bit code; determining whether the second plural-bit code conflicts with the first plural-bit code; and identifying a conflict based on said act of determining. Of course, other features and combinations are described as well.

The present disclosure relates to digital watermarking. One claim recites a method to detect two or more different digital watermarks in media. The method includes: receiving captured imagery of the media, the captured imagery comprising a plurality of image frames; for a first image frame applying a first watermark detector to search for a first digital watermark hidden within the first image frame, in which an electronic processor is programmed as the first watermark detector; and for a second image frame applying a second, different watermark detector to search for a second, different watermark hidden within the second image frame, in which an electronic processor is programmed as the second watermark detector. Other claims and combinations are provided too.

Digital watermarking in data representing color channels

The disclosure describes methods and apparatus of providing steganographic indicia or digital watermarking in image or video data. One implementation provides a method of embedding a digital watermark in image data captured by an imager, with watermark embedding occurring on-chip with the imager. Another implementation provides a method of managing images. Each of the images comprises plural-bit data steganographically embedded therein in the form of a digital watermark, with the plural-bit data corresponding to a geo-location. Yet another implementation provides a method of identifying locations on a map, with the map being for display via a computer display. Still another implementation provides a method of introducing a watermark message to a watermark embedder located on-chip with an image array. Other implementations and embodiments are provided as well.

Methods involving maps, imagery, video and steganography

This disclosure relates to advanced signal processing technology including steganographic embedding and digital watermarking. One combination disclosed in the description is an image processing apparatus including: electronic memory for storing an image, in which the image comprises at least a 1D or 2D barcode represented therein and a first encoded signal encoded therein, the 1D or 2D barcode comprising a first plural-bit code and the first encoded signal comprising a second plural-bit code; means for decoding the 1D or 2D barcode from the image to obtain the first plural-bit code; means for analyzing data representing the image to obtain the second plural-bit code from the first encoded signal; means for determining whether the second plural-bit code conflicts with the first plural-bit code; and means for generating a conflict map, the conflict map comprising an identification of a code conflict, and a spatial location of the code conflict relative to the image. Of course, other features and combinations are described as well.

Detecting conflicts between multiple different encoded signals within imagery

Growing community of inventors

Sherwood, OR, United States of America

Trent J Brundage