Abstract:
Novel methods and systems for quantization based data embedding and reading in host signals, such as image, audio and video signals. To embed auxiliary data in a host signal, an embedder maps the host signal from a first domain into a mapped signal in a second domain. The embedder performs quantization based embedding of auxiliary data into the host signal using quantizers. The quantizers are adapted such that the relationship between corresponding quantizers in the first and second domains satisfies a predetermined constraint. The mapping improves the robustness of the data embedding method by increasing the chances that the embedded data can be recovered by an auxiliary data reader after modifications. A related embedding method projects the mapped signal unto a vector, and specifically, a pseudorandom vector. It performs quantization based embedding on the projected signal. The use of this projection provides added robustness of the embedded data to noise and other forms of distortion.
Abstract:
The present invention provides methods and systems related to arranging objects (e.g., circles, dots and other shapes) in images and graphics to convey a machine-readable signal. One claim recites a method including: integrating a plurality of objects in an image or graphic, the objects being arranged in a pattern that is machine-readable by a programmed computer processor, the plurality of objects being integrated in the image or graphic so that the pattern is hidden in the image or graphic through cooperation with design elements of the image or graphic; and providing a visible structure for aiding in machine-reading of the pattern by the programmed computer processor. Of course, other combinations are provided and claimed as well.
Abstract:
Novel methods and systems for quantization based data embedding and reading in host signals, such as image, audio and video signals. To embed auxiliary data in a host signal, an embedder maps the host signal from a first domain into a mapped signal in a second domain. The embedder performs quantization based embedding of auxiliary data into the host signal using quantizers. The quantizers are adapted such that the relationship between corresponding quantizers in the first and second domains satisfies a predetermined constraint. The mapping improves the robustness of the data embedding method by increasing the chances that the embedded data can be recovered by an auxiliary data reader after modifications. A related embedding method projects the mapped signal unto a vector, and specifically, a pseudorandom vector. It performs quantization based embedding on the projected signal. The use of this projection provides added robustness of the embedded data to noise and other forms of distortion.
Abstract:
The present invention provides steganographic embedding and detecting techniques, along with related apparatus. One claim recites a signal detector including: an input and an analyzer. The input obtains media including a signal hidden therein. The signal including plural-bit data, the signal being hidden in the media through an arrangement of message objects. The arrangement is facilitated—at least in part—through thresholding of a steganographic signal representing or carrying the plural-bit data. The analyzer analyzes the media to obtain the plural-bit data. Of course, other combinations are provided and claimed as well.
Abstract:
The present invention relates to creating electronic versions of printed documents. A printed document will include steganographic, but machine-readable, indicia thereon. The steganographic indicia provides clues on how best to create a corresponding electronic version of the printed document.
Abstract:
Reversible watermarking methods enable auxiliary data to be embedded in data sets, such as images, audio, video and software. The reversible nature of the method enables the original data set to be perfectly restored. Control systems with feedback loops are used to optimize embedding based on distortion or auxiliary data capacity constraints. The watermarking may be applied recursively to embed several layers, where subsequent layers are embedded into a previously watermarked data set. To recover the original data, each layer is extracted and the data restored in reverse order of the embedding. Sets of elements that are expanded to carry auxiliary data in each layer overlap or are interleaved to maximize embedding capacity or quality of the host data.
Abstract:
Segmentation techniques are used in methods for embedding and detecting digital watermarks in multimedia signals, such as images, video and audio. A digital watermark embedder segments a media signal into arbitrary shaped regions based on a signal characteristic, such as a similarity measure, texture measure, shape measure or luminance or other color value extrema measure. The attributes of these regions are then used to adapt an auxiliary signal such that it is more effectively hidden in the media signal. In one example implementation, the segmentation process takes advantage of a human perceptibility model to group samples of a media signal into contiguous regions based on their similarities. Attributes of the region, such as its frequency characteristics, are then adapted to the frequency characteristics of a desired watermark signal. One embedding method adjusts a feature of the region to embed elements of an auxiliary signal, such as an error correction encoded message signal. The detecting method re-computes the segmentation, calculates the same features, and maps the feature values to symbols to reconstruct an estimate of the auxiliary signal. The auxiliary signal is then demodulated or decoded to recover the message using error correction decoding/demodulation operations.
Abstract:
This disclosure describes a method for encoding a digital watermark into an image signal that is robust to geometric distortion. The digital watermark is adapted to the host image signal in which it is embedded so as to be imperceptible or substantially imperceptible in the watermarked image when displayed or printed. This digital watermark may be used to determine the geometric distortion applied to a watermarked image, may be used to carry auxiliary information, and may be used to detect and decode a digital watermark embedded in a geometrically distorted version of a watermarked image. Because of its robustness to geometric distortion, the digital watermark is useful for a number of applications for embedding auxiliary data in image signals, including still pictures and video, where the image signal is expected to survive geometric distortion.This method may adapted to other types of media signals such as audio.
Abstract:
Reversible watermarking methods enable auxiliary data to be embedded in data sets, such as images, audio, video and software. The reversible nature of the method enables the original data set to be perfectly restored. Control systems with feedback loops are used to optimize embedding based on distortion or auxiliary data capacity constraints. The watermarking may be applied recursively to embed several layers, where subsequent layers are embedded into a previously watermarked data set. To recover the original data, each layer is extracted and the data restored in reverse order of the embedding. Sets of elements that are expanded to carry auxiliary data in each layer overlap or are interleaved to maximize embedding capacity or quality of the host data.