






"""simple docstring"""

import cva
import numpy as np






def _lowerCAmelCase						(	__lowerCamelCase:np.ndarray			,    __lowerCamelCase:int			,    __lowerCamelCase:int			,    __lowerCamelCase:int ):

						'''simple docstring'''






						try:
												return int(image[x_coordinate][y_coordinate] >= center )
						except (IndexError, TypeError):
												return 0






def _lowerCAmelCase						(	__lowerCamelCase:np.ndarray			,    __lowerCamelCase:int			,    __lowerCamelCase:int ):

						'''simple docstring'''






						__magic_name__      =  image[x_coordinate][y_coordinate]
						__magic_name__      =  [1, 2, 4, 8, 1_6, 3_2, 6_4, 1_2_8]

						# skip get_neighbors_pixel if center is null
						if center is None:
												return 0

						# Starting from the top right, assigning value to pixels clockwise
						__magic_name__      =  [
						    get_neighbors_pixel(__lowerCamelCase			,    x_coordinate - 1			,    y_coordinate + 1			,    __lowerCamelCase ),
						    get_neighbors_pixel(__lowerCamelCase			,    __lowerCamelCase			,    y_coordinate + 1			,    __lowerCamelCase ),
						    get_neighbors_pixel(__lowerCamelCase			,    x_coordinate - 1			,    __lowerCamelCase			,    __lowerCamelCase ),
						    get_neighbors_pixel(__lowerCamelCase			,    x_coordinate + 1			,    y_coordinate + 1			,    __lowerCamelCase ),
						    get_neighbors_pixel(__lowerCamelCase			,    x_coordinate + 1			,    __lowerCamelCase			,    __lowerCamelCase ),
						    get_neighbors_pixel(__lowerCamelCase			,    x_coordinate + 1			,    y_coordinate - 1			,    __lowerCamelCase ),
						    get_neighbors_pixel(__lowerCamelCase			,    __lowerCamelCase			,    y_coordinate - 1			,    __lowerCamelCase ),
						    get_neighbors_pixel(__lowerCamelCase			,    x_coordinate - 1			,    y_coordinate - 1			,    __lowerCamelCase ),
						]

						# Converting the binary value to decimal.
						return sum(
						    binary_value * power for binary_value, power in zip(__lowerCamelCase			,    __lowerCamelCase ) )


if __name__ == "__main__":
			# Reading the image and converting it to grayscale.
			lowercase           =							cva.imread(
			    '''digital_image_processing/image_data/lena.jpg''', cva.IMREAD_GRAYSCALE
			)

			# Create a numpy array as the same height and width of read image
			lowercase           =							np.zeros((image.shape[0], image.shape[1]))

			# Iterating through the image and calculating the
			# local binary pattern value for each pixel.
			for i in range(0, image.shape[0]):
						for j in range(0, image.shape[1]):
									lowercase           =							local_binary_value(image, i, j)

			cva.imshow('''local binary pattern''', lbp_image)
			cva.waitKey(0)
			cva.destroyAllWindows()











"""simple docstring"""

from cva import destroyAllWindows, imread, imshow, waitKey






def _lowerCAmelCase						(	__lowerCamelCase:Tuple			,    __lowerCamelCase:int ):

						'''simple docstring'''






						__magic_name__   ,     __magic_name__      =  img.shape[0], img.shape[1]

						def to_grayscale(__lowerCamelCase:List[str]			,    __lowerCamelCase:Optional[Any]			,    __lowerCamelCase:int ):
												return 0.2_1_2_6 * red + 0.5_8_7 * green + 0.1_1_4 * blue

						def normalize(__lowerCamelCase:Union[str, Any] ):
												return min(__lowerCamelCase			,    2_5_5 )

						for i in range(__lowerCamelCase ):
												for j in range(__lowerCamelCase ):
																		__magic_name__      =  int(to_grayscale(*img[i][j] ) )
																		__magic_name__      =  [
																		    normalize(__lowerCamelCase ),
																		    normalize(greyscale + factor ),
																		    normalize(greyscale + 2 * factor ),
																		]

						return img


if __name__ == "__main__":
			# read original image
			lowercase           =							{
			    percentage: imread('''image_data/lena.jpg''', 1) for percentage in (10, 20, 30, 40)
			}

			for percentage, img in images.items():
						make_sepia(img, percentage)

			for percentage, img in images.items():
						imshow(f'''Original image with sepia (factor: {percentage})''', img)

			waitKey(0)
			destroyAllWindows()



