Image analysis – Image enhancement or restoration
Reexamination Certificate
2011-07-05
2011-07-05
Alavi, Amir (Department: 2624)
Image analysis
Image enhancement or restoration
C358S003270
Reexamination Certificate
active
07974487
ABSTRACT:
The subject application is directed to a system and method for image enhancement. Image data, encoded as a plurality of pixels in YCbCr space, is first received, with Y representing a luma component, Cb representing a blue chroma component, and Cr representing a red chroma component. A maximum Y value is selected from the received image data. HSV image data is received corresponding to the YCbCr image data, with H representing a hue component, S representing a saturation component, and V representing a brightness component. A pixel is then selected from the HSV image data having a minimum S value. The S (saturation) value and the V (brightness) value of the selected pixel are then tested against a first and a second threshold level. Thereafter, a Max-RGB algorithm is selectively applied to the RGB image data in accordance with the output of the testing.
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Alavi Amir
Kabushiki Kaisha Toshiba
Pearce Jonathan
Sereboff Steven C.
SoCal IP Law Group LLP
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