초록 ▼

Registration data embedded in an image is used to determine and compensate for geometric transformation of the image. The registration data may include frequency domain features of the image that are used to compute the rotation and/or scaling of the image. The registration method may be used in con

Registration data embedded in an image is used to determine and compensate for geometric transformation of the image. The registration data may include frequency domain features of the image that are used to compute the rotation and/or scaling of the image. The registration method may be used in conjunction with digital watermarking and other signal processing applications.

대표청구항 ▼

1. A method comprising: detecting, with a processor of a computing device, one or more registration signals from image data, wherein the image data includes electronic signals, and wherein the detecting includes processing the electronic signals to detect the one or more registration signals in the

1. A method comprising: detecting, with a processor of a computing device, one or more registration signals from image data, wherein the image data includes electronic signals, and wherein the detecting includes processing the electronic signals to detect the one or more registration signals in the electronic signals;adding, with the processor of the computing device, two or more image blocks together from the image data to increase a signal-to-noise ratio of the one or more registration signals;determining, with the processor of the computing device, one or more frequency properties of the image data;identifying, with the processor of the computing device, a geometric transformation to which the image data is subjected based at least in part on the one or more detected registration signals and the one or more frequency properties; andusing the identified geometric transformation to compute registered image data.combining the plurality of blocks to reconstruct an image corresponding to the image data. 2. The method according to claim 1, further comprising transforming the image data into frequency components. 3. The method according to claim 1, wherein the detremining is based at least in part on one or more frequency components of the image data. 4. The method according to claim 1, further comprising: performing a Fourier transformation on at least a portion of the image date; andconverting one or more frequency components of the image data into amplitude spectra. 5. The method according to claim 1, further comprising: dividing the image data into a plurality of blocks; andcombining the plurality of blocks to reconstruct an image corresponding to the image data. 6. The method according to claim 1, wherein the geometric transformation comprises scaling. 7. A device comprising: registration signal detecting means for detecting one or more registration signals from image data;adding means for adding two or more image blocks together from the image data to increase a signal-to-noise ratio of the one or more registration signals;frequency property determining means for determining one or more frequency properties of the image data;geometric transformation identifying means for identifying a geometric transformation to which the image data is subjected based at least in part on the one or more detected registration signals and the one or more frequency properties; andgeometric transforming means for using the identified geometric transformation to compute registered image data. 8. A non-transitory computer readable medium having computer-readable instructions stored thereon, the instructions comprising: instructions to detect one or more registration signals from image data;instructions to add two or more image blocks together from the image data to increase a signal-to-noise ratio of the one or more registration signals;instructions to determine one or more frequency properties of the image data;instructions to identify a geometric transformation to which the image data is subjected based at least in part on the one or more detected registration signals and the one or more frequency properties; andinstructions to use the identified geometric transformation to compute registered image data. 9. A device comprising: a memory configured to store image data; anda processor operatively coupled to the memory and configured to:detect one or more registration signals from the image data;add two or more image blocks together from the image data to increase a signal-to-noise ratio of the one or more registration signals;determine one or more frequency properties of the image data;identify a geometric transformation to which the image data is subjected based at least in part on the one or more registration signals and the one or more frequency properties; anduse the identified geometric transformation to compute registered image data. 10. A method comprising: transforming, with a processor of a computing device, a media signal into a frequency domain to produce one or more frequency components of the media signal;detecting an embedded signal in the one or more frequency components;adding two or more data blocks together from the media signal to increase a signal-to-noise ratio of the embedded signal;based on the detecting, determining one or more geometric transformation parameters defining a geometric transformation of the media signal; andusing the one or more geometric transformation parameters to transform the media signal. 11. The method of claim 10, wherein the one or more frequency components are computed using a Fourier transform. 12. The method of claim 10, further comprising pre-filtering the media signal to attenuate noise relative to the embedded signal. 13. The method of claim 10, further comprising performing a log sampling of the media signal. 14. The method of claim 10, further comprising performing a log-log sampling of the media signal. 15. The method of claim 10, further comprising performing a log-polar sampling of the media signal. 16. The method of claim 10, wherein the media signal comprises an electronic signal representing audio or image signals stored in a memory. 17. The method of claim 16, wherein the image signals comprise video. 18. A non-transitory computer readable medium having computer-readable instructions stored thereon, the instructions comprising: instructions to transform a media signal into a frequency domain to produce one or more frequency components of the media signal;instructions to detect an embedded signal in the one or more frequency components;instructions to determine, based on the detecting, one or more geometric transformation parameters defining a geometric transformation of the media signal; andinstructions to use the one or more geometric transformation parameters to transform the media signal. 19. A device comprising: a memory configured to store a media signal; anda processor operatively coupled to the memory and configured to:transform the media signal into a frequency domain to produce one or more frequency components of the media signal;detect an embedded signal in the one or more frequency components;add two or more data blocks together from the media signal to increase a signal-to-noise ratio of the embedded signal;determine, based on the detecting, one or more geometric transformation parameters defining a geometric transformation of the media signal; anduse the one or more geometric transformation parameters to transform the media signal.