Methods and Systems for Inter-Layer Image Prediction

• US 20080175494A1
• 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 8,503,524 B2
• Time in Patent Office: Days
• US Class Current: 382/238
• CPC Class Codes: H04N 19/105 Selection of the reference unit for prediction within a chosen coding or prediction mode, e.g. adaptive choice of position and number of pixels used for prediction
• CPC Class Codes: H04N 19/136 Incoming video signal characteristics or properties
• CPC Class Codes: H04N 19/176 the region being a block, e.g. a macroblock
• CPC Class Codes: H04N 19/18 the unit being a set of transform coefficients
• 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 19/33 in the spatial domain
• CPC Class Codes: H04N 19/36 Scalability techniques involving formatting the layers as a function of picture distortion after decoding, e.g. signal-to-noise [SNR] scalability
• CPC Class Codes: H04N 19/46 Embedding additional information in the video signal during the compression process H04N19/517, H04N19/68, H04N19/70 take precedence
• CPC Class Codes: H04N 19/48 using compressed domain processing techniques other than decoding, e.g. modification of transform coefficients, variable length coding [VLC] data or run-length data motion estimation in a transform domain H04N19/547; processing of decoded motion vectors H04N19/513

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:

receiving low dynamic range (LDR) image data;

receiving high dynamic range (HDR) image data comprising prediction data and an HDR residual image element;

extracting an LDR image value from said LDR image data;

modifying said LDR image value based on said prediction data; and

combining said modified LDR image value with said HDR residual image element to form an HDR image element.

2. A method as described in claim 1 wherein said LDR image value comprises a spatial domain intensity value.

3. A method as described in claim 1 wherein said LDR image value comprises a transform domain coefficient.

4. A method as described in claim 1 wherein said modifying comprises scaling said LDR image value.

5. A method as described in claim 1 wherein said modifying comprises applying an offset to said LDR image value.

6. A method as described in claim 1 wherein said modifying comprises scaling said LDR image value and applying an offset to said LDR image value.

7. A method as described in claim 1 wherein said modifying varies in relation to spatial location.

8. A method as described in claim 1 wherein said modifying varies in relation to an image element value.

9. A method as described in claim 1 wherein said modifying varies in relation to an image element chromaticity value.

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

receiving a low dynamic range (LDR) image element;

receiving a high dynamic range (HDR) image element corresponding to said LDR image element;

compressing said LDR image element;

decompressing said compressed LDR image element;

modifying said decompressed LDR image element;

calculating a residual HDR image element by comparing said modified, decompressed LDR image element with said HDR image element; and

combining said residual HDR image element with prediction data comprising modification parameters used in said modifying to form HDR image data.

11. A method as described in claim 10 wherein said decompressed LDR image element comprises a spatial domain intensity value.

12. A method as described in claim 10 wherein said decompressed LDR image element comprises a transform domain coefficient.

13. A method as described in claim 10 wherein said modifying comprises scaling said decompressed LDR image element.

14. A method as described in claim 10 wherein said modifying comprises applying an offset to said decompressed LDR image element.

15. A method as described in claim 10 wherein said modifying comprises scaling said decompressed LDR image element and applying an offset to said decompressed LDR image element.

16. A method as described in claim 10 wherein said modifying varies in relation to spatial location.

17. A method as described in claim 10 wherein said modifying varies in relation to an image element value.

18. A method as described in claim 10 wherein said modifying varies in relation to an image element chromaticity value.

19. A method as described in claim 10 wherein said compressing comprises transforming, quantizing and encoding and said decompressing comprises inverse transforming, dequantizing and decoding.

20. A method as described in claim 10 wherein said compressing comprises transforming, quantizing and encoding and said decompressing comprises dequantizing and decoding.