Image Filtering is used everywhere nowadays. Right from social media applications and news articles to various training models to improve image data. It can be used to remove noise from images as well as smoothen edges.

To understand image filtering, let us first understand image blurring. Starting with Gaussian Blur

Gaussian Blur


Following up on my previous article on getting crisper images by manual resizing, another method used is through interpolation. Interpolation is a method of constructing new data points within the range of a discrete set of known data points. …


When training vision models, it is common to resize images to a lower dimension ((224 x 224), (299 x 299), etc.) to allow mini-batch learning and also to keep up the compute limitations. It improves efficiency and typically leads to better results.

Another idea which we will explore today is…

Annmay Sharma

Data Science and Machine Learning Enthusiast

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