Text Prior Guided Scene Text Image Super-resolution

Understand

Scene text image super-resolution (STISR) aims to improve the resolution and visual quality of low-resolution (LR) scene text images, and consequently boost the performance of text recognition.

• However, most of existing STISR methods regard text images as natural scene images, ignoring the categorical information of text.
• In this paper, we make an inspiring attempt to embed categorical text prior into STISR model training.
• Specifically, we adopt the character probability sequence as the text prior, which can be obtained conveniently from a text recognition model.