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US 2008/0175497 A1Published application
Methods and Systems for Multiplication-Free Inter-Layer Image Prediction
AssigneeSharp Laboratories of America, Inc.
InventorChristopher A. Segall
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Abstract
Embodiments of the present invention comprise systems and methods for predicting image elements.
Claims20
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 more elements
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.
3 more elements
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.
3 more elements
Dependencies are inferred from the claim text.