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US 2010/0166257 A1Published application
Method and apparatus for detecting semi-transparencies in video
AssigneeATI Technologies ULC
InventorGordon F. Wredenhagen
Life of this patent
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Abstract
A method and apparatus for detecting semi-transparencies in video is disclosed.
Claims20
A method for detecting semi-transparencies in a video image comprising:
- determining a variance between a plurality of pixel samples;
- applying a recursive computation to update a mean and the variance;
- generating a variance map;
- and
- generating a variance mask based upon the variance map.
2 more elements
A method for detecting semi-transparencies in a video image comprising:
- applying a minimum maximum mask.
A method of semi-transparency detection in video comprising:
- applying at least one of a minimum-maximum mask, a variance mask, a persistence edge mask, a predefined region mask or a user defined mask.
A semi-transparency detection apparatus comprising:
- a processor configured to determine the variance between a plurality of pixel samples;
- the processor further configured to apply a recursive computation to update a mean and the variance;
- the processor further configured to generate a variance map;
- and
- the processor further configured to generate a variance mask based upon the variance map.
2 more elements
A semi-transparency detection apparatus comprising:
- a processor configured to apply a minimum maximum mask.
A semi-transparency detection apparatus comprising:
- a processor configured to apply at least one of a minimum-maximum mask, a variance mask, a persistence edge mask, a predefined region mask or a user defined mask.
A computer readable storage medium comprising:
- a first set of instructions adapted to create a processor, wherein the processor is configured to implement a second set of instructions, the second set of instructions comprising:
- a variance code segment for determining the variance between a plurality of pixel samples;
- a recursive computation code segment for applying a recursive computation to update a mean and the variance;
- a map generating code segment for generating a variance map;
- and
- a mask generating code segment for generating a variance mask based upon the variance map.
3 more elements
Dependencies are inferred from the claim text.