colour_demosaicing.demosaicing_CFA_Bayer_DDFAPD#
- colour_demosaicing.demosaicing_CFA_Bayer_DDFAPD(CFA: ArrayLike, pattern: Literal['RGGB', 'BGGR', 'GRBG', 'GBRG'] | str = 'RGGB', refining_step: bool = True)#
Return the demosaiced RGB colourspace array from given Bayer CFA using DDFAPD - Menon (2007) demosaicing algorithm.
- Parameters:
- Returns:
RGB colourspace array.
- Return type:
Notes
The definition output is not clipped in range [0, 1] : this allows for direct HDRI image generation on Bayer CFA data and post demosaicing of the high dynamic range data as showcased in this Jupyter Notebook.
References
[MAC07]
Examples
>>> CFA = np.array( ... [ ... [0.30980393, 0.36078432, 0.30588236, 0.3764706], ... [0.35686275, 0.39607844, 0.36078432, 0.40000001], ... ] ... ) >>> demosaicing_CFA_Bayer_Menon2007(CFA) array([[[ 0.30980393, 0.35686275, 0.39215687], [ 0.30980393, 0.36078432, 0.39607844], [ 0.30588236, 0.36078432, 0.39019608], [ 0.32156864, 0.3764706 , 0.40000001]], [[ 0.30980393, 0.35686275, 0.39215687], [ 0.30980393, 0.36078432, 0.39607844], [ 0.30588236, 0.36078432, 0.39019609], [ 0.32156864, 0.3764706 , 0.40000001]]]) >>> CFA = np.array( ... [ ... [0.3764706, 0.36078432, 0.40784314, 0.3764706], ... [0.35686275, 0.30980393, 0.36078432, 0.29803923], ... ] ... ) >>> demosaicing_CFA_Bayer_Menon2007(CFA, "BGGR") array([[[ 0.30588236, 0.35686275, 0.3764706 ], [ 0.30980393, 0.36078432, 0.39411766], [ 0.29607844, 0.36078432, 0.40784314], [ 0.29803923, 0.3764706 , 0.42352942]], [[ 0.30588236, 0.35686275, 0.3764706 ], [ 0.30980393, 0.36078432, 0.39411766], [ 0.29607844, 0.36078432, 0.40784314], [ 0.29803923, 0.3764706 , 0.42352942]]])