Method for bayer mosaic image conversion
First Claim
1. A method of interpolating a Bayer image of red, green and blue pixels from a captured input space to an output space for printing, said Bayer image having one of the colors being 50% of the pixels, while the other two colors each are 25% of the pixels the method including the steps of:
- receiving the Bayer image captured using a Bayer color filter array; and
mapping each of the colors to the output space in accordance with the following equations;
x′
=(x/ops)+k1
y′
=(y/ops)+k2where x,y is a coordinate in the output space, x′
y′
is the coordinate in the input space, ops is the number of pixels in the output space per input space sample, and k1 &
k2 are either 0 or −
0.5 depending on the color and the desired relative rotational orientation of the image.
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Abstract
A method of, and an apparatus for, image conversion. The three color channels of a Bayer mosaic image are up-interpolated from input space to output space. The pixels sampled from each two-dimensional color plane of the Bayer image are convolved with a coefficient kernel for each color. To facilitate reconstruction and resampling, the color space for a dominant pixel color of the Bayer image is effectively rotated.
The generation of each color value for a given pixel coordinate is carried out in parallel using an identical convolve unit and a dedicated coefficient kernel for each color.
110 Citations
3 Claims
-
1. A method of interpolating a Bayer image of red, green and blue pixels from a captured input space to an output space for printing, said Bayer image having one of the colors being 50% of the pixels, while the other two colors each are 25% of the pixels the method including the steps of:
-
receiving the Bayer image captured using a Bayer color filter array; and mapping each of the colors to the output space in accordance with the following equations;
x′
=(x/ops)+k1
y′
=(y/ops)+k2where x,y is a coordinate in the output space, x′
y′
is the coordinate in the input space, ops is the number of pixels in the output space per input space sample, and k1 &
k2 are either 0 or −
0.5 depending on the color and the desired relative rotational orientation of the image.- View Dependent Claims (2, 3)
-
Specification