CVJun 27, 2023
Semantic Segmentation Using Super Resolution Technique as Pre-Processing
arXiv:2306.15218v11 citationsh-index: 8
Originality Synthesis-oriented
AI Analysis
This is an incremental improvement for document image processing, potentially aiding in tasks like digitization and analysis.
The paper tackled the problem of document image binarization by integrating image super-resolution as a preprocessing step for semantic segmentation, demonstrating that this approach effectively enhances segmentation results and performance.
Combining high-level and low-level visual tasks is a common technique in the field of computer vision. This work integrates the technique of image super resolution to semantic segmentation for document image binarization. It demonstrates that using image super-resolution as a preprocessing step can effectively enhance the results and performance of semantic segmentation.