Question

2. Linear Filtering: (30 Pts.) Write code to perform spatial filtering on an image using 5X5 Gaussian filter and a 3X3 Laplacian filter.

• Starter code available in diretory spatial_filtering/
• spatial_filtering/filtering.py:
o _init_(): Will intialize the required variable for filtering (image). DO NOT edit this function.
o get_gaussian_filter(): Write your code to initialize a 5X5 Gaussian filtering here.
o get_laplacian_filter(): Wring your code to initialize a 3X3 Laplacian filtering here.
o filter(): Wring your code to perform filtering operation on the input image using the specified filter.

Answer 1

Spatial filtering in image processing involves modifying pixels based on their neighborhood. Implement a 5x5 Gaussian filter and a 3x3 Laplacian filter in the provided code.

Step-by-step explanation:

This question is related to spatial filtering in image processing. Spatial filtering involves modifying the pixels of an image based on their neighborhood pixels. In this case, we are asked to implement a 5x5 Gaussian filter and a 3x3 Laplacian filter.

In the provided code, we need to implement the get_gaussian_filter() and get_laplacian_filter() functions to initialize the respective filters. The Gaussian filter is a smoothing filter used to reduce noise, while the Laplacian filter is used to enhance certain features in an image.

Finally, the filter() function should be implemented to apply the specified filter on the input image.