def lighten_area_around(self, image, offset, x, y):
half_radius = self.parent.reductionNeighborhoodWalkify.value()
min_x = Mapping.clip_value(x - half_radius, half_radius,
image.width() - half_radius)
max_x = Mapping.clip_value(x + half_radius, half_radius,
image.width() - half_radius)
min_y = Mapping.clip_value(y - half_radius, half_radius,
image.height() - half_radius)
max_y = Mapping.clip_value(y + half_radius, half_radius,
image.height() - half_radius)
adjustbrightness = self.parent.localBrightnessAdjustmentWalkify.value()
myset = set()
for s in range(int(round(half_radius / 2))):
myset.add(s)
myset.add(-s)
for comb in combinations(myset, 2):
inv_distance = 2 * max(myset) - (abs(comb[0]) + abs(comb[1]))
modfactor = half_radius * inv_distance
self.lighten_one_pixel(image, adjustbrightness * modfactor,
x + comb[0], y + comb[1])
for el in myset:
inv_distance = 2 * max(myset) - (2 * abs(el))
modfactor = half_radius * inv_distance
self.lighten_one_pixel(image, adjustbrightness * modfactor, x + el,
y + el)
def find_darkest_neighbor(self, image, cx, cy):
darkest_neighbor = 256
half_radius = self.parent.reductionNeighborhoodWalkify.value()
min_x = Mapping.clip_value(cx - half_radius, half_radius,
image.width() - half_radius)
min_y = Mapping.clip_value(cy - half_radius, half_radius,
image.height() - half_radius)
max_x = Mapping.clip_value(cx + half_radius, half_radius,
image.width() - half_radius)
max_y = Mapping.clip_value(cy + half_radius, half_radius,
image.height() - half_radius)
for x in range(min_x, max_x + 1):
for y in range(min_y, max_y + 1):
distance = sqrt((x - cx)**2 + (y - cy)**2)
if distance < half_radius:
currcolor = qGray(image.pixel(x, y)) + random() * 0.01
if currcolor < darkest_neighbor:
darkest_x = x
darkest_y = y
darkest_neighbor = currcolor
return darkest_x, darkest_y, darkest_neighbor
def lighten_one_pixel(self, image, offset, x, y):
currcolor = qGray(image.pixel(x, y))
newcolor = Mapping.clip_value(currcolor + offset, 0, 255)
image.setPixelColor(x, y, QColor(newcolor, newcolor, newcolor))
