METHOD AND A SYSTEM FOR CALIBRATING AND/OR VISUALIZING A MULTI IMAGE DISPLAY AND FOR REDUCING GHOSTING ARTIFACTS

• US 20100066817A1
• Filed: 02/25/2008
• Published: 03/18/2010
• Est. Priority Date: 02/25/2007
• Status: Active Grant

• Current Assignee: HumanEyes Technologies Limited
• Original Assignee: HumanEyes Technologies Limited
• Inventors: Zomet, Assaf, Havlin, Chanoch, Elharrar, Dan, Tadmor, Yaron, pritch, Yael
• Granted Patent: US 8,520,060 B2
• Time in Patent Office: Days
• US Class Current: 348/51
• CPC Class Codes: G03B 25/02 with interposed lenticular or line screen
• CPC Class Codes: G03B 35/14 Printing apparatus specially adapted for conversion between different types of record G03B42/08 takes precedence
• CPC Class Codes: G03B 35/24 using apertured or refractive resolving means on screens or between screen and eye
• CPC Class Codes: H04N 13/305 using lenticular lenses, e.g. arrangements of cylindrical lenses
• CPC Class Codes: H04N 13/327 Calibration thereof

Abstract

A method for identifying a blur profile of a multi image display with a first image separating mask. The method comprises displaying a calibration pattern through a second image separating mask, allowing an evaluator to provide a visual estimation indicating a blur brought about to the calibration pattern by the second image separating mask, and generating a blur profile of at least the first image separating mask according to the visual estimation. The first and second image separating masks having a substantially similar optical profile.

Claims

1. A method for identifying a blur profile of a multi image display with a first image separating mask, comprising:

a) displaying a calibration pattern through a second image separating mask;

b) allowing a human observer to provide a visual estimation indicating a blur brought about to said calibration pattern by said second image separating mask; and

c) generating a blur profile of at least said first image separating mask according to said visual estimation;

wherein said first and second image separating masks having a substantially similar optical profile.

3. The method of claim 1, wherein said blur profile includes a convolution kernel.

4. The method of claim 1, further comprising at least one of using said blur profile for reducing at least one ghosting artifact from the multi image display and using the blur profile for emulating the appearance of at least one image in a multi-image display.

5. The method of claim 4, wherein said reducing is performed by using the blur profile in a halftoning process.

6. The method of claim 4, further comprising combining said blur profile and a filter used in modeling human visual perception.

7. The method of claim 1, further comprising creating a member selected from a group consisting of:

a blur filter, an image blurring transformation, an image conversion function and processing at least one image according to said member.

9. The method of claim 1, wherein second image separating mask is the first image separating mask.

11. The method of claim 1, wherein said calibration pattern is printed, said calibration pattern having a printing blur brought about by at least one printing artifact of said optical profile.

15. The method of claim 1, wherein said image separating mask is selected from a group consisting of:

a lenticular lens array, an optical barrier, a parallax barrier, an array of lenses for integral photography, and any display for displaying a multi dimensional image.

16. The method of claim 1, further comprising receiving location information of said human observer before said c), said generating being performed according to said location information.

17. The method of claim 1, wherein said calibration pattern comprises at least one location label, said allowing further comprises allowing a location estimation of said location information according to the visibility of said at least one location label from a certain location.

18. The method of claim 1, wherein said calibration pattern comprises a banding pattern, further comprising generating a banding profile configured for calibrating at least one image of the multi image display according to said visual estimation.

2. (canceled)

8. (canceled)

10. (canceled)

12-14. -14. (canceled)

19-25. -25. (canceled)

26. A system for identifying a blur profile of a multi image display, comprising:

an input module configured for receiving a visual estimation of a blur brought about to a calibration pattern by at least an image separating mask;

a calibrating module configured for generating the blur profile according to said visual estimation; and

an output unit for outputting the blur profile, thereby allowing at least one of reducing a ghosting artifact of the multi image display and visualization the multi image display.

27. The system of claim 26, wherein said image separating mask having an optical profile, said multi image display having an additional image separating mask having said optical profile, said multi image display being formed by displaying said at least one calibrated image through said additional image separating mask.

28. The system of claim 27, wherein said optical profile is configured for defining a member selected from a group consisting of:

a pitch, a curvature, a refractive index shape, a relative location of the lenticular lenses, a transparency, a paper type, adhesive type, printer type and the like.

29. The system of claim 26, further comprising a client interface configured for generating a visualization of said multi image display and sending said visualization to a client terminal via a network, thereby allowing a user to view said visualization.

30. The system of claim 29, wherein said client interface is configured for receiving a generation authorization from said user via said network and generating the multi image display according to said generation authorization.

31. The system of claim 29, wherein said client terminal is remotely located from said system.

32. (canceled)

33. A method for de-ghosting a multi image display having at least one image and a first image separating mask, comprising:

displaying a calibration pattern through a second image separating mask;

allowing a visual estimation of a blurring artifact brought about by said second image separating mask; and

deghosting the at least one image according to said visual estimation, thereby reducing a ghosting artifact brought about by said first image separating mask;

wherein said first and second image separating masks having a substantially similar optical profile.

34. An article of lenticular imaging, comprising:

an optical element of lenticular imaging; and

a deghosted interlaced image having a plurality of pixels and attached to said optical element;

wherein said deghosted interlaced image is an outcome of a linear combination having at least one negative coefficient of a plurality of pixels of a source interlaced image.

35. The article of claim 34, where said linear combination is implemented by applying a convolution kernel to at least a part of the source interlaced image.

36. The article of claim 34, where said linear combination is implemented by applying a convolution kernel in at least two iterations to at least a part of the source interlaced image.