Filters are operations on an image to modify them so that they are usable for other computer vision tasks or to give us required information. These perform various functions such as removing noise from an image, extracting edges in an image, blurring an image, removing unwanted objects etc. We will see their implementations and understand the results.

Filtering techniques are necessary because there are several factors that may lead to noise in an image or undesired information in an image. Taking a picture in sunlight, induces lots of bright and dark areas in the image or an improper environment like night time, the image captured by a camera may contain a lot of noise. Also, in cases of unwanted objects or colors in an image, these are also considered noise.

An example of salt and pepper noise looks like the following:

The preceding image can be easily...