code: import cv2
  import numpy as np
  
  class sharpening:
  
  	def __init__(self):
  		pass
  	
  	def sharp(self,image):
  		# Create sharpening kernel
  		kernel = np.array([[0, -1, 0], [-1, 5, -1], [0, -1, 0]])
  
  		# applying the sharpening kernel to the input image & displaying it.
  		sharpened = cv2.filter2D(image, -1, kernel)
  
  		# Noise reduction
  		sharpened = cv2.bilateralFilter(sharpened, 9, 75, 75) 
  		return sharpened
  
  
  # Create an image object
  image = cv2.imread("./car.jpg")
  
  tmp_canvas = sharpening()
  res = tmp_canvas.sharp(image)
  cv2.imwrite('sharped.jpg', res)
  cv2.imshow('original',image)
  cv2.imshow('sharp',res)
  cv2.waitKey(0)
  cv2.destroyAllWindows()
  
apis: numpy.array