import cv2
import numpy as np
import openimg
import immask
def prewitt_mask(mode=0):
mask = [[[-1, 0, 1], [-1, 0, 1], [-1, 0, 1]],
[[1, 1, 1], [0, 0, 0], [-1, -1, -1]]]
return mask[mode]
if __name__ == '__main__':
img = openimg.gray_imload('Lenna.png')
new_img = immask.img_mask(img, prewitt_mask(), 'embossing')
cv2.imshow('img', img)
cv2.imshow('new_img', new_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
import cv2
import numpy as np
import openimg
import immask
def gaussian_smooth_mask(mode=0):
mask = [[[1 / 16, 1 / 8, 1 / 16], [1 / 8, 1 / 4, 1 / 8],
[1 / 16, 1 / 8, 1 / 16]],
[[1 / 273, 4 / 273, 7 / 273, 4 / 273, 1 / 273],
[4 / 273, 16 / 273, 26 / 273, 16 / 273, 4 / 273],
[7 / 273, 26 / 273, 41 / 273, 26 / 273, 7 / 273],
[4 / 273, 16 / 273, 26 / 273, 16 / 273, 4 / 273],
[1 / 273, 4 / 273, 7 / 273, 4 / 273, 1 / 273]]]
return mask[mode]
if __name__ == '__main__':
img = openimg.gray_imload('howell.jpg')
new_img = immask.img_mask(img, gaussian_smooth_mask(1))
cv2.imshow('img', img)
cv2.imshow('new_img', new_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
import cv2
import numpy as np
import openimg
import immask
def highpass_mask():
mask = [[-1, -1, -1], [-1, 8, -1], [-1, -1, -1]]
return mask
if __name__ == '__main__':
img = openimg.gray_imload('howell.jpg')
new_img = immask.img_mask(img, highpass_mask(), 'highpass')
cv2.imshow('img', img)
cv2.imshow('new_img', new_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
import cv2
import numpy as np
import openimg
import immask
def laplacian_mask(mode=0):
mask = [[[0, -1, 0], [-1, 4, -1], [0, -1, 0]],[[0, 1, 0], [1, -4, 1], [0, 1, 0]], [[-1, -1, -1],
[-1, 8, -1], [-1, -1, -1]],[[1, -2, 1], [-2, 4, -2], [1, -2, 1]]]
return mask[mode]
if __name__ == '__main__':
img = openimg.gray_imload('Lenna.png')
new_img = immask.img_mask(img, laplacian_mask(), 'embossing')
cv2.imshow('img', img)
cv2.imshow('new_img', new_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
import cv2
import numpy as np
import openimg
import immask
def shapening_mask(mode=0):
mask = [[[-1, -1, -1], [-1, 9, -1], [-1, -1, -1]],
[[0, -1, 0], [-1, 5, -1], [0, -1, 0]]]
return mask[mode]
if __name__ == '__main__':
img = openimg.gray_imload('howell.jpg')
new_img = immask.img_mask(img, shapening_mask())
cv2.imshow('img', img)
cv2.imshow('new_img', new_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
import cv2
import numpy as np
import openimg
import immask
def embossing_mask(mode=0):
mask = [[[-1, -1, 0], [-1, 0, 1], [0, 1, 1]],
[[-1, 0, 0], [0, 0, 0], [0, 0, 1]],
[[1, 0, 0], [0, 0, 0], [0, 0, -1]]]
return mask[mode]
if __name__ == '__main__':
img = openimg.gray_imload('howell.jpg')
new_img = immask.img_mask(img, embossing_mask(), 'embossing')
cv2.imshow('img', img)
cv2.imshow('new_img', new_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
import cv2
import numpy as np
import openimg
import immask
def roberts_mask(mode=0):
mask = [[[0, 0, -1], [0, 1, 0], [0, 0, 0]],
[[-1, 0, 0], [0, 1, 0], [0, 0, 0]]]
return mask[mode]
if __name__ == '__main__':
img = openimg.gray_imload('Lenna.png')
new_img = immask.img_mask(img, roberts_mask(), 'embossing')
cv2.imshow('img', img)
cv2.imshow('new_img', new_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
import cv2
import numpy as np
import openimg
import immask
def highboost_mask(a=1):
mask = [[1 / 9, 1 / 9, 1 / 9], [1 / 9, 1 / 9, 1 / 9],
[1 / 9, 1 / 9, 1 / 9]]
return mask
if __name__ == '__main__':
img = openimg.gray_imload('howell.jpg')
new_img = immask.img_mask(img, highboost_mask(), 'highboost')
cv2.imshow('img', img)
cv2.imshow('new_img', new_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
import cv2
import numpy as np
import openimg
import immask
import laplacian
import 가우시안스무딩
if __name__ == '__main__':
img = openimg.gray_imload('Lenna.png')
new_img = immask.img_mask(
immask.img_mask(img, 가우시안스무딩.gaussian_smooth_mask()),
laplacian.laplacian_mask(1), 'embossing')
cv2.imshow('img', img)
cv2.imshow('new_img', new_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
import cv2
import numpy as np
import openimg
import immask
def sobel_mask(mode=0):
mask = [[[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]], [[1, 2, 1],
[0, 0, 0], [-1, -2, -1]]]
return mask[mode]
if __name__ == '__main__':
img = openimg.gray_imload('Lenna.png')
new_img = immask.img_mask(img, sobel_mask(), 'embossing')
cv2.imshow('img', img)
cv2.imshow('new_img', new_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
random_noise = std * std_norm # 기준값과 곱해 노이즈생성
new_pixel = img[x, y] + random_noise # 영상에 노이즈 삽입
if 0 <= new_pixel <= 255:
new_img[x, y] = new_pixel
return new_img
def highboost_mask(mode=0):
mask = [[[1 / 9, 1 / 9, 1 / 9], [1 / 9, 1 / 9, 1 / 9],
[1 / 9, 1 / 9, 1 / 9]],
[[1 / 16, 2 / 16, 1 / 16], [2 / 16, 4 / 16, 2 / 16],
[1 / 16, 2 / 16, 1 / 16]],
[[1 / 256, 4 / 256, 6 / 256, 4 / 256, 1 / 256],
[4 / 256, 16 / 256, 24 / 256, 16 / 256, 4 / 256],
[6 / 256, 24 / 256, 36 / 256, 24 / 256, 6 / 256],
[4 / 256, 16 / 256, 24 / 256, 16 / 256, 4 / 256],
[1 / 256, 4 / 256, 6 / 256, 4 / 256, 1 / 256]]]
return mask[0]
if __name__ == '__main__':
img = openimg.gray_imload('howell.jpg')
noise_img = add_gaussian(img)
new_img = immask.img_mask(noise_img, highboost_mask())
cv2.imshow('img', img)
cv2.imshow('noise', noise_img)
cv2.imshow('new_img', new_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
import cv2
import numpy as np
import openimg
import immask
import laplacian
import 가우시안스무딩
if __name__ == '__main__':
img = openimg.gray_imload('Lenna.png')
new_img = immask.img_mask(
img, 가우시안스무딩.gaussian_smooth_mask()) - immask.img_mask(
img, 가우시안스무딩.gaussian_smooth_mask(1))
cv2.imshow('img', img)
cv2.imshow('new_img', new_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
import cv2
import numpy as np
import openimg
import immask
def blurring_mask(mode=0): #블러링 마스크
mask = [[[1 / 9, 1 / 9, 1 / 9], [1 / 9, 1 / 9, 1 / 9],
[1 / 9, 1 / 9, 1 / 9]],
[[1 / 25, 1 / 25, 1 / 25, 1 / 25, 1 / 25],
[1 / 25, 1 / 25, 1 / 25, 1 / 25, 1 / 25],
[1 / 25, 1 / 25, 1 / 25, 1 / 25, 1 / 25],
[1 / 25, 1 / 25, 1 / 25, 1 / 25, 1 / 25],
[1 / 25, 1 / 25, 1 / 25, 1 / 25, 1 / 25]]]
return mask[mode]
if __name__ == '__main__':
img = openimg.gray_imload('howell.jpg')
new_img = immask.img_mask(img, blurring_mask(1))
cv2.imshow('img', img)
cv2.imshow('new_img', new_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
