Correcting image capture distortion

• US 9,349,153 B2
• Filed: 04/25/2008
• Issued: 05/24/2016
• Est. Priority Date: 04/25/2007
• Status: Active Grant

• Current Assignee: Digimarc Corporation
• Original Assignee: Digimarc Corporation
• Inventors: Reed, Alastair M.
• Primary Examiner(s): Hung, Yubin
• Application Number:
  US12/109,573
• Publication Number:
  US 20080298632A1
• Time in Patent Office: 2,951 Days
• Field of Search: 382/100, 382/255, 382/275, 348354-356
• US Class Current: 1/1
• CPC Class Codes: G06T 1/0064 Geometric transfor invariant watermarking, e.g. affine transform invariant
• CPC Class Codes: G06T 5/70 Denoising; Smoothing
• CPC Class Codes: G06T 5/73 Deblurring; Sharpening
• CPC Class Codes: G06T 5/80 Geometric correction

Abstract

The disclosure relates generally to improving readability of machine-readable information, despite signal capture distortion. One claim recites a method comprising: obtaining input data, the input data representing imagery or video, the input data comprising test data and a machine-readable signal; determining characteristics associated with the test data to determine information regarding signal capture distortion of the input data; based on at least the characteristics, determining an amount of correction or counteracting to be applied to the input data; using a programmed processor, applying a determined amount of correction or counteracting to the input data; and analyzing corrected or counteracted input data to obtain the machine-readable signal. Of course, other claims and combinations are provided as well.

Claims

1. A method comprising:

obtaining input data, the input data representing imagery captured with an optical lens, the input data comprising test data consisting of white noise and a separate machine-readable signal, in which the test data is auxiliary to and imperceptible in the imagery;

evaluating characteristics associated with the test data to determine information regarding blurring of the input data associated with the optical lens or image capture;

using a programmed processor, adjusting the input data to compensate for or to correct the blurring based at least in part on the information;

analyzing the compensated for or corrected input data to obtain the machine-readable signal.

2. The method of claim 1 wherein the machine-readable signal comprises digital watermarking.

3. The method of claim 1 wherein the machine-readable signal is represented with a 2-D symbology.

4. The method of claim 1 wherein said act of evaluating comprises evaluating characteristics of the test data in a spatial frequency domain.

5. The method of claim 1 wherein said act of adjusting comprises scaling or modifying a template or filter which models the blurring, and adjusting the input data with the scaled or modified template or filter.

6. The method of claim 5, further comprising, prior to said act of adjusting, accessing a data structure to obtain the template or filter.

7. A non-transitory machine-readable memory comprising instructions to perform the method recited in claim 1.

8. An apparatus comprising:

electronic memory for storing input data, the input data representing imagery captured with at least an optical lens, the input data comprising test data consisting of white noise and a separate machine-readable signal, in which the test data is auxiliary to and imperceptible in the imagery; and

an electronic processor programmed for;

evaluating characteristics associated with the test data to determine information regarding blurring of the input data associated with the optical lens or image capture;

adjusting the input data to compensate for or to correct the blurring based at least in part on the information;

analyzing the compensated for or corrected input data to obtain the machine-readable signal.

9. The apparatus of claim 8 wherein the machine-readable signal comprises digital watermarking.

10. The apparatus of claim 8 wherein the machine-readable signal is represented with a 2-D symbology.

11. The apparatus of claim 8 wherein the evaluating comprises evaluating characteristics of the test data in a spatial frequency domain.

12. The apparatus of claim 8 wherein the adjusting comprises scaling or modifying a template or filter which models the blurring, and adjusting the input data with the scaled or modified template or filter.

13. The apparatus of claim 11, wherein prior to the adjusting, accessing a data structure to obtain the template or filter.

14. A method comprising:

obtaining input data, the input data representing imagery or video, the input data comprising test data consisting of white noise and a separate machine-readable signal, in which the test data is auxiliary to and imperceptible in the imagery or video;

determining characteristics associated with the test data to determine information regarding signal capture distortion of the input data;

based on at least the characteristics, determining an amount of correction or counteracting to be applied to the input data;

using a programmed processor, applying a determined amount of correction or counteracting to the input data; and

analyzing corrected or counteracted input data to obtain the machine-readable signal.

15. The method of claim 14 wherein said act of determining an amount of correction or counteracting to be applied to the input data compares at least one of the characteristics to pre-determined values.

16. The method of claim 15 wherein the pre-determined values represent different levels, types or amount of signal capture distortion.

17. The method of claim 14 wherein the machine-readable signal comprises digital watermarking.

18. The method of claim 14 wherein the machine-readable signal is represented with a 2-D symbology.

19. The method of claim 14 wherein said act of applying comprises applying a determined amount of correction or counteracting to a template or filter which models capture distortion, with the applied template or filter then being applied to the input data.

20. The method of claim 14 wherein the signal capture distortion comprises at least image blurring associated with optical capture of the input data.

21. An apparatus comprising:

electronic memory for storing input data, the input data representing imagery or video, the input data comprising test data consisting of white noise and a separate machine-readable signal, in which the test data is auxiliary to and imperceptible in the imagery or video; and

an electronic processor programmed for;

determining characteristics associated with the test data to determine information regarding signal capture distortion of the input data;

based on at least the characteristics, determining an amount of correction or counteracting to be applied to the input data;

applying a determined amount of correction or counteracting to the input data; and

analyzing corrected or counteracted input data to obtain the machine-readable signal.

22. The apparatus of claim 21 wherein the determining an amount of correction or counteracting to be applied to the input data compares at least one of the characteristics to pre-determined values.

23. The apparatus of claim 22 wherein the pre-determined values represent different levels, types or amount of signal capture distortion.

24. The apparatus of claim 21 wherein the machine-readable signal comprises digital watermarking.

25. The apparatus of claim 21 wherein the machine-readable signal is represented with a 2-D symbology.

26. The apparatus of claim 21 wherein the applying comprises applying a determined amount of correction or counteracting to a template or filter which models capture distortion, with the applied template or filter then being applied to the input data.

27. The apparatus of claim 21 wherein the signal capture distortion comprises at least image blurring associated with optical capture of the input data.