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Add ColorProcessing algorithm that is in charge to manage brightness,
contrast and saturation controls. These controls are currently based on
user controls.
Signed-off-by: Florian Sylvestre <fsylvestre@baylibre.com>
Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
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Denoise and Sharpness filters will be applied by RkISP1 during the
demosaicing step. The denoise filter is responsible for removing noise
from the image, while the sharpness filter will enhance its acutance.
Add filter algorithm with denoise and sharpness values based on user
controls.
Signed-off-by: Florian Sylvestre <fsylvestre@baylibre.com>
Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
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The Defect Pixel Cluster Correction algorithm is responsible to minimize
the impact of defective pixels. The on-the-fly method is actually used,
based on coefficient provided by the tuning file.
Signed-off-by: Florian Sylvestre <fsylvestre@baylibre.com>
Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
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The Lens Shading Correction algorithm applies multipliers to all pixels
to compensate for the lens shading effect. The coefficients are
specified in a downscaled table in the YAML tuning file.
Signed-off-by: Florian Sylvestre <fsylvestre@baylibre.com>
Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
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The GammaSensorLinearization algorithm linearizes the sensor output to
compensate the sensor non-linearities by applying piecewise linear
functions to the red, green and blue channels.
Signed-off-by: Florian Sylvestre <fsylvestre@baylibre.com>
Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Reviewed-by: Paul Elder <paul.elder@ideasonboard.com>
Signed-off-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
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The RkISP1 ISP calculates a mean value for Y, Cr and Cb at each frame.
There is a RGB mode which could theoretically give us the values for R,
G and B directly, but it seems to be failing right now.
Convert those values into R, G and B and estimate the gain to apply in a
grey world.
Signed-off-by: Jean-Michel Hautbois <jeanmichel.hautbois@ideasonboard.com>
Tested-by: Peter Griffin <peter.griffin@linaro.org>
Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
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In order to have the proper pixel levels, apply a fixed black level
correction, based on the imx219 tuning file in RPi. The value is 4096 on
16 bits, and the pipeline for RkISP1 is on 12 bits, scale it.
Signed-off-by: Jean-Michel Hautbois <jeanmichel.hautbois@ideasonboard.com>
Tested-by: Peter Griffin <peter.griffin@linaro.org>
Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
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Now that we have IPAContext and Algorithm, we can implement a simple AGC
based on the IPU3 one. It is very similar, except that there is no
histogram used for an inter quantile mean. The RkISP1 is returning a 5x5
array (for V10) of luminance means. Estimating the relative luminance is
thus a simple mean of all the blocks already calculated by the ISP.
Signed-off-by: Jean-Michel Hautbois <jeanmichel.hautbois@ideasonboard.com>
Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Reviewed-by: Kieran Bingham <kieran.bingham@ideasonboard.com>
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Now that libipa offers a templated class for Algorithm, use it in
RkISP1.
Signed-off-by: Jean-Michel Hautbois <jeanmichel.hautbois@ideasonboard.com>
Reviewed-by: Laurent Pinchart <laurent.pinchart@ideasonboard.com>
Reviewed-by: Kieran Bingham <kieran.bingham@ideasonboard.com>
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