2019/09/20 by Xiaoyu Li, Li, Xiaoyu, Bo Zhang +5 · 4 citations
Computer Science · Engineering · #Advanced Vision and Imaging #Image Processing Techniques and Applications #Image Enhancement Techniques
paper · pdf · doi:10.48550/arxiv.1909.09470
We propose a novel learning method to rectify document images with various distortion types from a single input image. As opposed to previous learning-based methods, our approach seeks to first learn the distortion flow on input image patches rather than the entire image. We then present a robust technique to stitch the patch results into the rectified document by processing in the gradient domain. Furthermore, we propose a second network to correct the uneven illumination, further improving the readability and OCR accuracy. Due to the less complex distortion present on the smaller image patches, our patch-based approach followed by stitching and illumination correction can significantly improve the overall accuracy in both the synthetic and real datasets.