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Fix clipping

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This commit is contained in:
Jeremy Hummel 2019-08-13 00:13:04 -07:00
commit 252e581499
2 changed files with 22 additions and 14 deletions
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33
imagelib/color_transfer.py
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@ -76,13 +76,15 @@ def reinhard_color_transfer(target, source, clip=False, preserve_paper=False, ta
a += aMeanSrc
b += bMeanSrc
# clip/scale the pixel intensities if they fall outside
# L*a*b* space (0 ≤ L ≤ 100, −127 ≤ a ≤ 127, −127 ≤ b ≤ 127)
# https://docs.opencv.org/3.3.0/de/d25/imgproc_color_conversions.html
l, a, b = _scale_array(l, a, b, clip=clip)
# merge the channels together and convert back to the RGB color
transfer = cv2.merge([l, a, b])
transfer = cv2.cvtColor(transfer, cv2.COLOR_LAB2BGR)
if clip:
np.clip(transfer, 0, 1, out=transfer)
else:
transfer = (transfer - np.min(transfer)) / np.ptp(transfer)
np.clip(transfer, 0, 1, out=transfer)
# return the color transferred image
return transfer
@ -148,19 +150,26 @@ def lab_image_stats(image, mask=None):
return l_mean, l_std, a_mean, a_std, b_mean, b_std
def _scale_array(arr, clip=True):
def _scale_array(l, a, b, clip=True):
if clip:
return np.clip(arr, 0, 1)
return np.clip(l, 0, 100), np.clip(a, -127, 127), np.clip(b, -127, 127)
# return (arr - np.min(arr)) / np.ptp(arr)
mn = arr.min()
mx = arr.max()
scale_range = (max([mn, 0]), min([mx, 1]))
l_min, a_min, b_min = np.min(l), np.min(a), np.min(b)
l_ptp, a_ptp, b_ptp = np.ptp(l), np.ptp(a), np.ptp(b)
if mn < scale_range[0] or mx > scale_range[1]:
return (scale_range[1] - scale_range[0]) * (arr - mn) / (mx - mn) + scale_range[0]
l -= min(l_min, 0)
a -= min(a_min, -127)
b -= min(b_min, -127)
return arr
if l_ptp > 100:
l = 100 * l / l_ptp
if a_ptp > 254:
a = 254 * a / a_ptp - 127
if b_ptp:
b = 254 * b / b_ptp - 127
return l, a, b
def channel_hist_match(source, template, hist_match_threshold=255, mask=None):

3
samplelib/SampleProcessor.py
View file

@ -235,7 +235,7 @@ class SampleProcessor(object):
img_bgr = imagelib.linear_color_transfer(img_bgr, ct_sample_bgr)
elif apply_ct == ColorTransferMode.RCT:
img_bgr = imagelib.reinhard_color_transfer(img_bgr, ct_sample_bgr, clip=False, preserve_paper=True)
img_bgr = imagelib.reinhard_color_transfer(img_bgr, ct_sample_bgr, clip=False)
elif apply_ct == ColorTransferMode.RCT_MASKED:
if ct_sample_mask is None:
@ -244,7 +244,6 @@ class SampleProcessor(object):
img_bgr = imagelib.reinhard_color_transfer(img_bgr,
ct_sample_bgr,
clip=False,
preserve_paper=True,
target_mask=img_mask,
source_mask=ct_sample_mask)