Methods and Systems for Inter-Layer Image Prediction Parameter Determination

• US 20090175338A1
• Filed: 01/04/2008
• Published: 07/09/2009
• Est. Priority Date: 01/04/2008
• Status: Active Grant

• Current Assignee: Sharp Kabushiki Kaisha (Hon Hai Precision Industry Co., Ltd.)
• Original Assignee: Sharp Kabushiki Kaisha (Hon Hai Precision Industry Co., Ltd.)
• Inventors: Segall, Christopher A.
• Granted Patent: US 8,175,158 B2
• Time in Patent Office: Days
• US Class Current: 375/240.140
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 7/223 using block-matching
• CPC Class Codes: H04N 19/184 the unit being bits, e.g. of the compressed video stream
• CPC Class Codes: H04N 19/186 the unit being a colour or a chrominance component
• CPC Class Codes: H04N 19/30 using hierarchical techniques, e.g. scalability H04N19/63 takes precedence
• CPC Class Codes: H04N 19/61 in combination with predictive coding

Abstract

Aspects of the present invention are related to systems and methods for predicting a prediction parameter which may be used in the prediction of high dynamic range image elements from low dynamic range image data.

Claims

1. A method for predicting a high dynamic range image element, said method comprising:

a) receiving a plurality of low dynamic range (LDR) image data;

b) generating a first predicted high dynamic range (HDR) prediction parameter value based on said plurality of LDR image data;

c) extracting an LDR image value from said plurality of LDR image data; and

d) forming an HDR image element prediction using said first predicted HDR prediction parameter value and said LDR image value.

2. A method as described in claim 1, wherein said first predicted HDR prediction parameter value is an HDR prediction parameter value selected from the group consisting of a predicted scale value and a predicted offset value.

3. A method as described in claim 1 further comprising:

a) generating a second predicted HDR prediction parameter value based on said plurality of LDR image data; and

b) forming said HDR image element prediction using said first predicted HDR prediction parameter value, said second predicted HDR prediction parameter value and said LDR image value.

4. A method as described in claim 3, wherein said first predicted HDR prediction parameter value is a predicted scale value and said second predicted HDR prediction parameter value is a predicted offset value.

5. A method as described in claim 1, wherein said first predicted HDR prediction parameter value comprises a luma HDR prediction parameter value and a chroma HDR prediction parameter value.

6. A method as described in claim 1, wherein said forming an HDR image element prediction using said first predicted HDR prediction parameter value and said LDR image value comprises:

a) receiving a first HDR prediction parameter value residual; and

b) adjusting said first predicted HDR prediction parameter value in accordance with said received first HDR prediction parameter value residual.

7. A method as described in claim 1 further comprising:

a) receiving an HDR residual image element; and

b) combining said HDR image element prediction with said HDR residual image element to form a residually-corrected HDR image element.

8. A method as described in claim 1, wherein said generating a first predicted HDR prediction parameter value based on said plurality of LDR image data comprises:

a) determining a mapping parameter value based on said plurality of LDR image data; and

b) selecting said first predicted HDR prediction parameter value from a plurality of candidate first HDR prediction parameter values based on said mapping parameter value.

9. A method as described in claim 8, wherein said determining a mapping parameter value based on said plurality of LDR image data comprises combining said plurality of LDR image data using a method selected from the group consisting of summation, average, mean, weighted summation, weighted average, weighted mean, normalized summation, block transform and median.

10. A method as described in claim 8, wherein said selecting said first predicted HDR prediction parameter value from a plurality of candidate first HDR prediction parameter values based on said mapping parameter value comprises using said mapping parameter value as an index into a look-up-table comprising said plurality of candidate first HDR prediction parameter values.

11. A method for predicting a high dynamic range image element, said method comprising:

a) receiving a low dynamic range (LDR) image data corresponding to a first image frame;

b) receiving a first correspondence indicator relating said LDR image data to a first previous-image-frame first high dynamic range (HDR) prediction parameter value;

c) generating a first predicted HDR prediction parameter value based on said first correspondence indicator;

d) extracting an LDR image value from said LDR image data; and

e) forming an HDR image element prediction using said first predicted HDR prediction parameter value and said LDR image value.

12. A method as described in claim 11, wherein said first predicted HDR prediction parameter value is an HDR prediction parameter value selected from the group consisting of a predicted scale value and a predicted offset value.

13. A method as described in claim 11 further comprising:

a) receiving a second correspondence indicator relating said LDR image data to a second-previous-image frame second HDR prediction parameter value;

b) generating a second predicted HDR prediction parameter value based on said second correspondence indicator; and

c) forming said HDR image element prediction using said first predicted HDR prediction parameter value, said second predicted HDR prediction parameter value and said LDR image value.

14. A method as described in claim 13, wherein said first predicted HDR prediction parameter value is a predicted scale value and said second predicted HDR prediction parameter value is a predicted offset value.

15. A method as described in claim 11, wherein said first predicted HDR prediction parameter value comprises a luma HDR prediction parameter value and a chroma HDR prediction parameter value.

16. A method as described in claim 11, wherein said forming an HDR image element prediction using said first predicted HDR prediction parameter value and said LDR image value comprises:

a) receiving a first HDR prediction parameter value residual; and

b) adjusting said first predicted HDR prediction parameter value in accordance with said received first HDR prediction parameter value residual.

17. A method as described in claim 11 further comprising:

a) receiving an HDR residual image element; and

b) combining said HDR image element prediction with said HDR residual image element to form a residually-corrected HDR image element.

18. A method as described in claim 11, wherein said first correspondence indicator indicates a location in a first HDR prediction parameter value buffer, wherein said first HDR prediction parameter value buffer comprises a plurality of first HDR prediction parameter values associated with said first previous frame.

19. A method as described in claim 11, wherein said first correspondence indicator comprises motion vector information relating said first frame to said first previous frame.

20. A method as described in claim 19 further comprising:

a) receiving motion vector residual information; and

b) correcting said motion vector information with said motion vector residual information.

21. A method as described in claim 19, wherein said motion vector information is calculated from said LDR image data corresponding to said first frame and LDR image data corresponding to said first previous frame.