Image analysis – Color image processing
Reexamination Certificate
2007-01-02
2007-01-02
Couso, Jose L. (Department: 2624)
Image analysis
Color image processing
Reexamination Certificate
active
10987378
ABSTRACT:
Strategies are described for processing image information in a linear form to reduce the amount of artifacts (compared to processing the data in nonlinear form). Exemplary types of processing operations can include, scaling, compositing, alpha-blending, edge detection, and so forth. In a more specific implementation, strategies are described for processing image information that is: a) linear; b) in the RGB color space; c) high precision (e.g., provided by floating point representation); d) progressive; and e) full channel. Other improvements provide strategies for: a) processing image information in a pseudo-linear space to improve processing speed; b) implementing an improved error dispersion technique; c) dynamically calculating and applying filter kernels; d) producing pipeline code in an optimal manner; and e) implementing various processing tasks using novel pixel shader techniques.
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Evans Glenn F.
Munsil Donald J.
Spears Stacey L.
Couso Jose L.
Lee & Hayes PLLC
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