Low pass filters in image preprocessing in computer vision
Word “Filter” becomes popular in images after “Snapchat, Instagram” filters which enables user to beautify their images, for their posts over social media platforms, but sometimes we wondered about their working and willing know about behind the scenes of commonly used filters on which this post is about to helps readers to briefly understand the working of the low pass filters, basically filters are classified as low pass and high pass later in post readers will know what this low and high makes differences. So, Let’s starts with filters and then explore low pass filters.
What are filters?
Filters are operations that are used to enhance the image visual appearance, it allows to highlight some regions more than others, and extracting the information from th image based on the required use case.
Low pass filters?
Imagine you captured a landscape image, having tiny leaves spreading over the scape and want to soften their appearance, then low pass filters make your task easier. As name suggests it is preprocessing technique that only passes or allows low frequency components of an image whenever applied, by convolving the image with kernel such as average kernel that softens the sharp regions in image.