Scene Text Image Super-Resolution For OCR

I am working on an OCR system. A challenge that I'm facing for recognizing the text within ROI is due to the shakiness or motion effect shot or text that is not focus due to angle

Solution 1:

Currently, there is one solution Real-World Super-Resolution via Kernel Estimation and Noise Injection. The author proposes a degradation framework RealSR, which provides realistic images for super-resolution learning. It is a promising method for shakiness or motion effect images super-resolution.

The method is divided into two stages. The first stage Realistic Degradation for Super-Resolution

is to estimate the degradation from real data and generate realistically LR images.

The second stage Super-Resolution Model

is to train the SR model based on the constructed data.

You can look at this Github article: https://github.com/jixiaozhong/RealSR