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Fix laplacian rating #183

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Merged
vladtcvs merged 1 commit into from
Nov 24, 2024
Merged

Fix laplacian rating #183

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8 changes: 2 additions & 6 deletions src/vstarstack/tool/image_processing/drop_unsharp.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@
import numpy as np
import scipy.ndimage
from enum import Enum
import cv2

import vstarstack.library.data
import vstarstack.tool.cfg
Expand Down Expand Up @@ -44,9 +45,7 @@ def measure_sharpness_sobel(img : np.ndarray, mask : np.ndarray | None) -> float
def measure_sharpness_laplace(img : np.ndarray, mask : np.ndarray | None) -> float:
if mask is not None:
img = img * mask
sx = scipy.ndimage.laplace(img, mode='constant')
sy = scipy.ndimage.laplace(img, mode='constant')
laplace = np.sqrt(sx**2 + sy**2)
laplace = cv2.Laplacian(img, cv2.CV_64F).var()
if mask is not None:
laplace = laplace * mask
metric = np.sum(laplace)
Expand All @@ -64,9 +63,6 @@ def measure_sharpness_df(df : vstarstack.library.data.DataFrame, method : Estima
img, opts = df.get_channel(channel)
if not df.get_channel_option(channel, "brightness"):
continue
amax = np.amax(img)
amin = np.amin(img)
img = (img - amin)/(amax - amin)
mask, _, _ = df.get_linked_channel(channel, "mask")
if method == EstimationMethod.SOBEL:
metric += measure_sharpness_sobel(img, mask)
Expand Down