Implement a Demosaicing Algorithm

Implement the simple demosaicing algorithm seen during the lecture, or a more advanced one.

Apply it to IMG $4782.$CR$3$

Important: in the processing pipeline, do not change the data type $($i$.$e$.,$ do not transform it to unsigned $8-$bits integers$).$ Conversion to a less accurate type should be done only when exporting results to an image format. Hint: no need to apply a median filter on U and V channels; it is slow and won$$t improve much the image.

Hint: if it looks grayish, it$$s normal:you haven$$t applied some color balance yet.

Let X be your data.

Create a mask Mc for each color channel. Example for red channel.

Create a convolution kernel K $($at least $3$x$3)$

Compute color channel C as

C $=(($Mc$\backslash$times X$)$K$)/($Mc$$K$)$

Filters out other channels$->$ weighted sum

Division by the weights

$->$ weighted average

Risk of color artifact along sharp edges!

Here:

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$3$rd column would be blueish

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$6$th column would be reddish

This might be a problem in case of:

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Low resolution sensor

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And$/$or very sharp image

provide code