Building a Super-resolution Image Web-app

Author(s): Aanisha Bhattacharyya

Originally published on Towards AI.

In this article, we will build a web-app trained on the SRCNN model.

The super-resolution web-app

On giving an image as input, it reconstructs a higher resolution image of the same. I made this app, as my pilot task for Tessellate coding. The task included finding a suitable model, making the inference algorithm, wrapping it in a REST API, and finally dockerizing the application.

For the task, I used Keras with a Tensorflow backend and Flask. This blog is about the same challenges I faced in the task, and how to overcome them when you are making your project.

For the model, I researched a bit on the topic of the super-resolution of the image, and… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI