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Network architecture for single image super‐resolution: A comprehensive review and comparison
Z Zhang, Y Han, L Zhu, X **, L Li, M Liu… - IET Image …, 2024 - Wiley Online Library
Single image super‐resolution (SISR) is a promising research direction in computer vision
and image processing for improving the visual perception of low‐quality images. In recent …
and image processing for improving the visual perception of low‐quality images. In recent …
Pean: A diffusion-based prior-enhanced attention network for scene text image super-resolution
Scene text image super-resolution (STISR) aims at simultaneously increasing the resolution
and readability of low-resolution scene text images, thus boosting the performance of the …
and readability of low-resolution scene text images, thus boosting the performance of the …
Efficient scene text image super-resolution with semantic guidance
Scene text image super-resolution has significantly improved the accuracy of scene text
recognition. However, many existing methods emphasize performance over efficiency and …
recognition. However, many existing methods emphasize performance over efficiency and …
HiREN: Towards higher supervision quality for better scene text image super-resolution
Scene text image super-resolution (STISR) is an important pre-processing technique for text
recognition from low-resolution scene images. Nowadays, various methods have been …
recognition from low-resolution scene images. Nowadays, various methods have been …
Navigating Style Variations in Scene Text Image Super-Resolution through Multi-Scale Perception
F Xu, Z Yu - Proceedings of the 2024 International Conference on …, 2024 - dl.acm.org
Scene Text Image Super-Resolution (STISR) aims to simultaneously improve the resolution
and legibility of text images, generating images that will significantly impact the performance …
and legibility of text images, generating images that will significantly impact the performance …
Advancing scene text image super-resolution via edge enhancement priors
Scene text image super-resolution aims to simultaneously enhance the readability and
resolution of low-resolution text images. Despite significant progress in this field, the issue of …
resolution of low-resolution text images. Despite significant progress in this field, the issue of …
More and Less: Enhancing Abundance and Refining Redundancy for Text-Prior-Guided Scene Text Image Super-Resolution
W Yang, Y Luo, M Ibrayim, A Hamdulla - International Conference on …, 2024 - Springer
Scene text image super-resolution (STISR) aims to enhance low-resolution text images,
boosting downstream text recognition tasks. Recent STISR models leverage text recognizer …
boosting downstream text recognition tasks. Recent STISR models leverage text recognizer …
Multiscale Structure Prompted Diffusion Models for Scene Text Image Super-Resolution
Scene Text Image Super-Resolution (STISR), which aims to enhance the resolution and
legibility of text in low-resolution images, is crucial for accurate text recognition in real-world …
legibility of text in low-resolution images, is crucial for accurate text recognition in real-world …
MPGTSRN: Scene Text Image Super-Resolution Guided by Multiple Visual-Semantic Prompts
Scene text image super-resolution (STISR) aims at enhancing the visual clarity of a low-
resolution text image for human perception or tasks like text recognition. In recent STISR …
resolution text image for human perception or tasks like text recognition. In recent STISR …
A Weighted Edit Distance for Text Correction in Warship Hull Number Recognition
M Wang, Z Li, X Li - 2024 10th International Conference on Big …, 2024 - ieeexplore.ieee.org
Recognition warship hull number from images is an important application in real world.
Generally, the task is transferred as a text recognition issue and tackled by current …
Generally, the task is transferred as a text recognition issue and tackled by current …