Methods and Systems for Multiplication-Free Inter-Layer Image Prediction

• US 20080175497A1
• Filed: 01/23/2007
• Published: 07/24/2008
• Est. Priority Date: 01/23/2007
• 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 8,233,536 B2
• Time in Patent Office: Days
• US Class Current: 382/238
• CPC Class Codes: H04N 19/186 the unit being a colour or a chrominance component
• CPC Class Codes: H04N 19/187 the unit being a scalable video layer
• CPC Class Codes: H04N 19/30 using hierarchical techniques, e.g. scalability H04N19/63 takes precedence

Abstract

Embodiments of the present invention comprise systems and methods for predicting image elements.

Claims

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

a) receiving low dynamic range (LDR) image data value for an image element;

b) receiving an LDR prediction operation indicator;

c) receiving a prediction operation indicator associated with a prediction shift value;

d) scaling said LDR image element value with a binary shift operation corresponding to said prediction shift value when indicated by said prediction operation indicator;

e) combining said scaled LDR image element value with said LDR image element value with an additive operation corresponding to said prediction operation indicator, thereby producing a prediction image value, when indicated by said LDR prediction operation.

2. A method as described in claim 1 further comprising receiving an HDR residual image element corresponding to said LDR image element and combining said HDR residual image element with said prediction image value.

3. A method as described in claim 1 further comprising adding an offset value to said scaled LDR image element value.

4. A method as described in claim 1 wherein said prediction operation indicator indicates whether said additive operation is addition or subtraction.

5. A method as described in claim 1 wherein said prediction shift value indicates a number of bit-places to shift.

6. A method as described in claim 1 wherein said binary shift operation is a left shift operation.

7. A method for predicting a high dynamic range (HDR) image element, said method comprising:

a) receiving a low dynamic range (LDR) image data value for an image element;

b) generating a first prediction based on said LDR image data value;

c) receiving a prediction operation indicator associated with a prediction shift value;

d) scaling said LDR image element value with a binary shift operation corresponding to said prediction shift value when indicated by said prediction operation indicator; and

e) combining said scaled LDR image element value with said first prediction value with an additive operation corresponding to said prediction operation indicator, thereby producing a prediction image value, when indicated by said prediction operation indicator.

8. A method as described in claim 7 further comprising receiving an HDR residual image element corresponding to said LDR image element and combining said HDR residual image element with said prediction image value.

9. A method as described in claim 7 wherein said generating a first prediction comprises performing a binary shift operation on said LDR image data value.

10. A method as described in claim 7 wherein said generating a first prediction comprises performing a binary shift operation on said LDR image data value and adding an offset value to said shifted LDR image data value.

11. A method as described in claim 7 wherein said prediction operation indicator indicates whether said additive operation is addition or subtraction.

12. A method as described in claim 7 wherein said prediction shift value indicates a number of bit-places to shift.

13. A method as described in claim 7 wherein said binary shift operation is a left shift operation.

14. A system for predicting a high dynamic range (HDR) image element, said system comprising:

a) an LDR receiver for receiving a low dynamic range (LDR) image data value for an image element;

b) a prediction generator for generating a first prediction based on said LDR image data value;

c) a prediction data receiver for receiving a prediction operation indicator associated with a prediction shift value;

d) a scaling process for scaling said LDR image element value with a binary shift operation corresponding to said prediction shift value when indicated by said prediction operation indicator; and

e) a prediction combiner for combining said scaled LDR image element value with said first prediction value with an additive operation corresponding to said prediction operation indicator, thereby producing a prediction image value, when indicated by said prediction operation indicator.

15. A system as described in claim 14 further comprising an HDR receiver for receiving an HDR residual image element corresponding to said LDR image element and an image combiner for combining said HDR residual image element with said prediction image value.

16. A method as described in claim 14 wherein said prediction generator performs operations comprising performing a binary shift operation on said LDR image data value.

17. A method as described in claim 14 wherein said prediction generator performs operations comprising performing a binary shift operation on said LDR image data value and adding an offset value to said shifted LDR image data value.

18. A method as described in claim 14 wherein said prediction operation indicator indicates whether said additive operation is addition or subtraction.

19. A method as described in claim 14 wherein said prediction shift value indicates a number of bit-places to shift.

20. A method as described in claim 14 wherein said binary shift operation is a left shift operation.