Image analysis for generation of image data subsets

• US 7,559,661 B2
• Filed: 12/09/2005
• Issued: 07/14/2009
• Est. Priority Date: 12/09/2005
• Status: Expired due to Fees

• Current Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Damera-Venkata, Niranjan, Widdowson, Simon, An Chang, Nelson Liang
• Primary Examiner(s): NGUYEN, HUNG
• Application Number:
  US11/297,922
• Publication Number:
  US 20070132966A1
• Time in Patent Office: 1,313 Days
• Field of Search: 355/85, 355/94, 355/121, 345/204, 345/694, 348798-803, 382/276, 349/8, 349/73, 349/77
• US Class Current: 353/121
• CPC Class Codes: G03B 21/005 Projectors using an electronic spatial light modulator but not peculiar thereto

Abstract

A method comprising analyzing a portion of image data to identify a characteristic of the portion of the image data and determining an algorithm based on the characteristic is provided. The algorithm is configured to generate at least first and second image data subsets with distortion using the image data such that the first and the second image data subsets are configured to cause an image corresponding to the image data to be reproduced without the distortion in response to being simultaneously displayed with first and second projection devices, respectively.

Claims

1. A method comprising:

analyzing a first portion of image data to identify at least a first characteristic of the first portion of the image data; and

determining at least a first algorithm based on at least the first characteristic, the first algorithm configured to generate at least first and second image data subsets with distortion using the image data such that the first and the second image data subsets are configured to cause a first image corresponding to the image data to be reproduced without the distortion in response to being simultaneously displayed with first and second projection devices, respectively.

2. The method of claim 1 further comprising:

categorizing the first portion of the image data using at least the first characteristic.

3. The method of claim 1 further comprising:

analyzing the first portion of the image data by determining a level of detail of the first portion.

4. The method of claim 1 further comprising:

analyzing the first portion of the image data by measuring a color contrast of the first portion.

5. The method of claim 1 wherein the first portion comprises one of a plurality of frames in the image data.

6. The method of claim 1 wherein the first portion comprises at least two frames in the image data.

7. The method of claim 1 further comprising:

analyzing a second portion of image data to identify at least a second characteristic of the second portion of the image data; and

determining at least a second algorithm based on at least the second characteristic, the second algorithm configured to generate the first and second image data subsets with distortion using the image data such that the first and the second image data subsets are configured to cause a second image corresponding to the image data to be reproduced without the distortion in response to being simultaneously displayed with first and second projection devices, respectively.

8. The method of claim 7 wherein the first portion of the image data forms a first segment of a frame of the image data, and wherein the second portion of the image data forms a second segment of the frame of the image data.

9. The method of claim 1 further comprising:

generating the first and the second subsets using the first algorithm.

10. The method of claim 9 wherein the first algorithm includes at least one of a bit-plane splitting algorithm, a color channel splitting algorithm, and a random factor splitting algorithm.

11. A system comprising:

an image analysis system configured to analyze a first portion of image data to identify at least a first characteristic of the first portion of the image data and determine at least a first algorithm based on at least the first characteristic; and

a subset generating unit configured to generate at least first and second image data subsets with distortion using the image data and the first algorithm such that the first and the second image data subsets are configured to cause a first image corresponding to the image data to be reproduced without the distortion in response to being simultaneously displayed with first and second projection devices, respectively.

12. The system of claim 11 wherein the image analysis system is configured to categorize the first portion of the image data using at least the first characteristic.

13. The system of claim 11 wherein the image analysis system is configured to analyze the first portion of the image data by determining a level of detail of the first portion.

14. The system of claim 11 wherein the image analysis system is configured to analyze the first portion of the image data by measuring a color contrast of the first portion.

15. The system of claim 11 wherein the first portion comprises one of a plurality of frames in the image data.

16. The system of claim 11 wherein the first portion comprises at least two frames in the image data.

17. The system of claim 11 wherein the image analysis system is configured to analyze a second portion of image data to identify at least a second characteristic of the second portion of the image data and determine at least a second algorithm based on at least the second characteristic, and wherein the subset generating unit is configured to generate the first and second image data subsets with distortion using the image data and the second algorithm such that the first and the second image data subsets are configured to cause a second image corresponding to the image data to be reproduced without the distortion in response to being simultaneously displayed with first and second projection devices, respectively.

18. The system of claim 11 wherein the first portion of the image data forms a first segment of a frame of the image data, and wherein the second portion of the image data forms a second segment of the frame of the image data.

19. The system of claim 11 wherein the first algorithm includes at least one of a bit-plane splitting algorithm, a color channel splitting algorithm, and a random factor splitting algorithm.

20. A computer-readable medium having computer-executable instructions for performing a method comprising:

analyzing a portion of image data to identify at least a characteristic of the portion; and

determining an algorithm based on at least the characteristic, the algorithm configured to generate at least first and second image data subsets with distortion using the image data such that the first and the second image data subsets are configured to cause an image corresponding to the image data to be reproduced without the distortion in response to being simultaneously displayed with first and second projection devices, respectively.