Benjamin_Loison/Robust_image_source_identification_on_modern_smartphones
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#62: Optimize significantly mergeSingleColorChannelImagesAccordingToBayerFilter

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Benjamin Loison 2024-04-30 03:17:19 +02:00
parent 2d67c2bca1
commit ab9466c738
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1 changed files with 11 additions and 23 deletions
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34
datasets/raise/utils.py
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@ -96,29 +96,17 @@ def silentTqdm(data, desc = None):
return data
def mergeSingleColorChannelImagesAccordingToBayerFilter(singleColorChannelImages, progress = False):
tqdmVersion = tqdm if progress else silentTqdm
for color in tqdmVersion(Color, 'Color'):
colorImage = singleColorChannelImages[color]
if color == list(Color)[0]:
width, height = colorImage.shape
multipleColorsImage = np.empty([dimension * 2 for dimension in colorImage.shape], dtype = np.float64)
for y in tqdmVersion(range(height), 'Height'):
for x in range(width):
pixel = colorImage[x, y]
'''
Assume Bayer Filter:
RG
GB
'''
offsetX, offsetY = {
Color.RED: (0, 0),
Color.GREEN_RIGHT: (1, 0),
Color.GREEN_BOTTOM: (0, 1),
Color.BLUE: (1, 1),
}[color]
newX, newY = [getNewIndex(index, offset) for index, offset in [(x, offsetX), (y, offsetY)]]
multipleColorsImage[newX, newY] = pixel
colorImage = singleColorChannelImages[list(Color)[0]]
multipleColorsImage = np.empty([dimension * 2 for dimension in colorImage.shape], dtype = np.float64)
'''
Assume Bayer Filter:
RG
GB
'''
multipleColorsImage[::2,::2] = singleColorChannelImages[Color.RED]
multipleColorsImage[1::2,::2] = singleColorChannelImages[Color.GREEN_RIGHT]
multipleColorsImage[::2,1::2] = singleColorChannelImages[Color.GREEN_BOTTOM]
multipleColorsImage[1::2,1::2] = singleColorChannelImages[Color.BLUE]
return multipleColorsImage
def saveNpArray(fileName, npArray):