Crosstalk cancellation in 3D displays

• US 9,769,451 B2
• Filed: 09/25/2015
• Issued: 09/19/2017
• Est. Priority Date: 05/14/2011
• Status: Active Grant

• Current Assignee: Dolby Laboratories Licensing Corporation (Dolby Laboratories Incorporated)
• Original Assignee: Dolby Laboratories Licensing Corporation (Dolby Laboratories Incorporated)
• Inventors: Doutre, Colin R., Nasiopoulos, Panos
• Primary Examiner(s): Rahman, Mohammad J
• Application Number:
  US14/866,750
• Publication Number:
  US 20160094828A1
• Time in Patent Office: 725 Days
• Field of Search: None
• CPC Class Codes: H04N 13/122 Improving the 3D impression of stereoscopic images by modifying image signal contents, e.g. by filtering or adding monoscopic depth cues H04N13/128 takes precedence
• CPC Class Codes: H04N 13/125 for crosstalk reduction
• CPC Class Codes: H04N 13/324 Colour aspects
• CPC Class Codes: H04N 2213/002 Eyestrain reduction by processing stereoscopic signals or controlling stereoscopic devices

Abstract

Image processing is performed to facilitate subtractive crosstalk cancellation in 3D images. In a global embodiment, pixel values are compressed to provide sufficient foot room for subtractive crosstalk cancellation. For video images the degree of compression may vary from frame to frame. Temporal filtering may be applied to reduce flicker. In a local embodiment luminance is added to and/or compression is performed in local areas to facilitate more complete subtractive crosstalk cancellation. The amount or added luminance or compression may be matched to the requirements of the local areas. Added luminance and/or compression may be made to vary smoothly in time and smoothly in space. Displays and other apparatus may be constructed to perform methods for partial or complete crosstalk cancellation.

Claims

1. A method for preparing image data for 3D images comprising left-eye and right-eye views for display, the method comprising:

based on the image data for the left-eye and right-eye views identifying sets of pixels in each of the left-eye and right-eye views having pixel values insufficient to allow complete subtractive crosstalk cancellation;

selectively for the pixels in the sets determining amounts to increase pixel values of the pixels to allow complete subtractive crosstalk cancellation;

based on the determined amounts for the pixels in the sets establishing an amount or amounts to increase the pixel values;

preparing the image data by increasing the pixel values for at least some of the pixels in the sets by one or both of addition and scaling in the established amount or amounts.

2. A method according to claim 1 wherein identifying the sets of pixels comprises identifying pixels for which:

I_S<

c^1/γ

I_C

where I_S the pixel value for the one of the left-eye and right-eye views currently being considered, I_C is the corresponding pixel value in the other one of the left-eye and right-eye views, c is the amount of crosstalk between the left-eye and right-eye views when displayed and γ

is a gamma value.

3. A method according to claim 1 wherein establishing the amount or amounts to increase the pixel values comprises taking a maximum of the determined amounts.

4. A method according to claim 3 wherein establishing the amount or amounts to increase the pixel values comprises taking a percentile value for the determined amounts.

5. A method according to claim 4 wherein the percentile value is at least a 90^th percentile of the determined amounts.

6. A method according to claim 1 comprising globally increasing all pixel values in the left-eye and right-eye views by applying the same addition and/or scaling to all pixels in the left-eye and right-eye views.

7. A method according to claim 1 wherein the pixel values are R, G, B pixel values and the method comprises, for each of the pixels, applying the same addition and/or scaling to all of the R, G, B pixel values for the pixel.

8. A method according to claim 1 wherein the 3D images comprise video frames in a video sequence and the method comprises applying a temporal low pass filter to the established amount or amounts to increase the pixel values.

9. A method according to claim 8 wherein the temporal low-pass filter comprises a bidirectional filter.

10. A method according to claim 1 wherein the pixel values are represented using more than 8 bits.

11. A method according to claim 1 comprising applying a sharpening filter prior to identifying the sets of pixels in each of the left-eye and right-eye views having pixel values insufficient to allow complete subtractive crosstalk cancellation.

12. A method according to claim 1 comprising separately determining the amounts to increase the pixel values of the pixels for different regions within the left-eye and right-eye views.

13. A method according to claim 1 comprising identifying a plurality of regions within one of the left-eye and right-eye views wherein the regions comprise pixels having pixel values insufficient to allow complete subtractive crosstalk cancellation and, for each of the plurality of regions selectively increasing the pixel values for pixels within the region or not increasing the pixel values for the pixels within the region depending on whether or not the region is larger than a threshold size.

14. A method according to claim 13 wherein the 3D images comprise video frames in a video sequence and the method comprises identifying a plurality of regions within one of the left-eye and right-eye views wherein the regions comprise pixels having pixel values insufficient to allow complete subtractive crosstalk cancellation and, for each of the plurality of regions selectively increasing the pixel values for pixels within the region or not increasing the pixel values for the pixels within the region depending on whether or not the region persists for more than a threshold number of frames of the video sequence.

15. A method according to claim 14 wherein selectively increasing the pixel values for pixels within the region or not increasing the pixel values for the pixels within the region further depends on whether or not the region is larger than a threshold size.

16. A method according to claim 1 wherein identifying the set of pixels in each of the left-eye and right-eye views comprises identifying a plurality of regions within one of the left-eye and right-eye views wherein the regions comprise pixels having pixel values insufficient to allow complete subtractive crosstalk cancellation by applying a binary labelling algorithm.

17. A method according to claim 1 comprising identifying a plurality of regions within one of the left-eye and right-eye views wherein the regions comprise pixels having pixel values insufficient to allow complete subtractive crosstalk cancellation, wherein the established amounts include an amount for each of the regions wherein the method further comprises also increasing the pixel values in transition areas along boundaries of the plurality of regions by amounts that drop off with distance from the boundary of the regions.

18. A method according to claim 17 wherein, within the transition areas, the amounts drop off non-linearly with distance from the boundaries of the regions.

19. A method according to claim 17 comprising increasing the pixel values within the region by varying amounts such that an amount of luminance added to the region varies with position in the region to provide a gentle peak.