sharpening_img

# Any results you write to the current directory are saved as output.
image = cv2.imread('/kaggle/input/totaltextstr/Total-Text/Test/img1093.jpg')
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

plt.figure(figsize=(12, 12))
plt.subplot(1, 2, 1)
plt.title("Original")
plt.imshow(image)

# Create our shapening kernel, we don't normalize since the 
# the values in the matrix sum to 1
kernel_sharpening = np.array([[-1,-1,-1], 
                              [-1,9,-1], 
                              [-1,-1,-1]])

# applying different kernels to the input image
sharpened = cv2.filter2D(image, -1, kernel_sharpening)


plt.subplot(1, 2, 2)
plt.title("Image Sharpening")
plt.imshow(sharpened)

plt.show()