def scalar_multiplication(first_image: ImageWrapper, scalar: float):
w, h = first_image.dimensions()
result = ImageWrapper.from_dimensions(w, h, mode=first_image.get_mode())
for x in range(w):
for y in range(h):
val = [
int(first_image.get_pixel(x, y)[i] * scalar) % 255
for i in range(len(first_image.get_pixel(x, y)))
]
result.set_pixel(x, y, tuple(val))
return result
def pixel_to_pixel_operation(first_image: ImageWrapper,
second_image: ImageWrapper, operation):
assert first_image.dimensions() == second_image.dimensions()
w, h = first_image.dimensions()
matrix = []
for x in range(w):
row = []
for y in range(h):
val = [
operation(
first_image.get_pixel(x, y)[i],
second_image.get_pixel(x, y)[i])
for i in range(len(first_image.get_pixel(x, y)))
]
row.append(tuple(val))
matrix.append(row)
return matrix_to_image(normalized_matrix(matrix),
mode=first_image.get_mode())
def pixel_transformation(image: ImageWrapper, transformation_function):
w, h = image.dimensions()
matrix = []
for x in range(w):
row = []
for y in range(h):
val = transformation_function(x, y, image.get_pixel(x, y))
row.append(tuple(val))
matrix.append(row)
return matrix_to_image(normalized_matrix(matrix), mode=image.get_mode())