Distortion-Free Data Embedding for Images

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Also, the log-polar method is applicable when the scale is uniform. Having described and illustrated the principles of the technology with reference to specific implementations, it will be recognized that the technology can be implemented in many other, different, forms.

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To provide a comprehensive disclosure without unduly lengthening the specification, applicants incorporate by reference the patents and patent applications referenced above. The methods, processes, and systems described above may be implemented in hardware, software or a combination of hardware and software. For example, the auxiliary data encoding processes may be implemented in a programmable computer or a special purpose digital circuit.

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Similarly, auxiliary data decoding may be implemented in software, firmware, hardware, or combinations of software, firmware and hardware. The methods and processes described above may be implemented in programs executed from a system's memory a computer readable medium, such as an electronic, optical or magnetic storage device. Effective date : Year of fee payment : 4.

Year of fee payment : 8. Year of fee payment : A digital watermark detection method uses a matched filtering technique on a log polar re-mapping of a watermarked signal to detect peaks associated with a repetitive structure of a watermark. A method of determining distortion of a signal with embedded data comprising: transforming the signal into a transform domain to produce peaks due to a repetitive structure of the embedded data in the signal;. The method of claim 1 wherein transforming comprises an autocorrelation of the signal.

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The method of claim 1 wherein the mapping includes a log-polar mapping to convert scaling and rotation into spatial shifts. The method of claim 1 wherein the correlation is computed using a matched filter. The method of claim 1 wherein the embedded data is repeated in the signal as rectangular blocks. A tangible medium on which is stored instructions for performing the method of claim 1.

USP true Computing distortion of media signals embedded data with repetitive structure and log-polar mapping. Computing distortion of media signals using embedded data with repetitive structure and log-polar mapping.

USB2 en. Image processing using embedded registration data to determine and compensate for geometric transformation. Copyright-protection-service-oriented remote sensing image digital watermarking method. USA en. EPA2 en.

Troubleshooting Images in Campaigns

Image reading or processing with ability to prevent copying of certain originals. USB1 en. System method, and product for information embedding using an ensemble of non-intersecting embedding generators. Apparatus and method for watermark data insertion and apparatus and method for watermark data detection. Rotation, scale, and translation resilient public watermarking for images using a log-polar fourier transform.

WOA2 en. Measuring quality of service of broadcast multimedia signals using digital watermark analyses. USA1 en. Method of embedding and extracting information using induced affine transformations. Extracting digital watermarks using logarithmic sampling and symmetrical attributes. Bender et al. Cox et al.

Distortion-Free Data Embedding for Images

Matsui et al. J79D-II, No. Meerwald et al. Ohnishi et al. Also published Aug.

Measuring Image Distortion Fields

O'Ruanaidh et al. Pereira et al. IEEE Int. Sheng et al. Su et al.

Associated Data

Celik et al. Lin et al. Barni et al. Kutter et al. Tang et al. Multi-carrier watermarks using carrier signals modulated with auxiliary messages. Zhu et al. Zhang et al. Statistical fragile watermarking capable of locating individual tampered pixels. Zheng et al. RST-invariant digital image watermarking based on log-polar mapping and phase correlation. Watermarks carrying content dependent signal metrics for detecting and characterizing signal alteration.

EPB1 en. Authenticating printed objects using digital watermarks associated with multidimensional quality metrics. Lumini et al. Cotting et al. As it is the case with the other peak finding methods used with the autocorrelation technique, the values of the measured scale and rotation may have some ambiguity. Hence, it can be resolved by trial and error during the reading stage of the watermark. In this case, the pattern in the log-polar image becomes less regular see FIG.

One of the strong peaks is the correct peak. Finally, the location of the 12 highest peaks in FIG.

The correct scale and orientation was observed to correspond to the highest peak. The above process was repeated with various combinations of rotations and scales. For every combination of rotation and scale, the highest 12 peaks were detected in the log-polar image, and the corresponding rotation angles and scale factors were determined.

In order to compare the accuracy of the proposed method, we compared it to the peak finding method suggested in the literature: M. We also detected the highest 12 peaks close to the image center and calculated the corresponding orientations and scales. We then used the closest rotation and scale to the true rotation and scale in order to calculate the average detection error ADE.

Similarly, we calculated the ADE for our proposed log-polar method. The ADE is defined by equation 12 :. This indicates that the log-polar method is more accurate than that suggested in the cited literature. The main cause of the inaccuracy in the peak finding method is due to the gradient calculation, which is used to boost the energy in the peaks before detecting them. This calculation tends to slightly shift the locations of the peaks.

The accuracy of the log-polar method comes at the expense of an increase in computation due to the bi-cubic interpolation used in computing the log-polar mapping. Also, the log-polar method is applicable when the scale is uniform. Having described and illustrated the principles of the technology with reference to specific implementations, it will be recognized that the technology can be implemented in many other, different, forms. To provide a comprehensive disclosure without unduly lengthening the specification, applicants incorporate by reference the patents and patent applications referenced above.

The methods, processes, and systems described above may be implemented in hardware, software or a combination of hardware and software. For example, the auxiliary data encoding processes may be implemented in a programmable computer or a special purpose digital circuit. Similarly, auxiliary data decoding may be implemented in software, firmware, hardware, or combinations of software, firmware and hardware.

The methods and processes described above may be implemented in programs executed from a system's memory a computer readable medium, such as an electronic, optical or magnetic storage device. Effective date : Year of fee payment : 4. Year of fee payment : 8. Year of fee payment : A digital watermark detection method uses a matched filtering technique on a log polar re-mapping of a watermarked signal to detect peaks associated with a repetitive structure of a watermark.


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A method of determining distortion of a signal with embedded data comprising: transforming the signal into a transform domain to produce peaks due to a repetitive structure of the embedded data in the signal;. The method of claim 1 wherein transforming comprises an autocorrelation of the signal. The method of claim 1 wherein the mapping includes a log-polar mapping to convert scaling and rotation into spatial shifts. The method of claim 1 wherein the correlation is computed using a matched filter. The method of claim 1 wherein the embedded data is repeated in the signal as rectangular blocks.

A tangible medium on which is stored instructions for performing the method of claim 1. USP true Computing distortion of media signals embedded data with repetitive structure and log-polar mapping. Computing distortion of media signals using embedded data with repetitive structure and log-polar mapping.