{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/deep-laplacian-pyramid-network-for-text","title":"Deep Laplacian Pyramid Network for Text Images Super-Resolution","arxiv_id":"1811.10449","date":"2018-11-26","proceeding":null,"authors":["Hanh T. M. Tran","Tien Ho-Phuoc"],"abstract":"Convolutional neural networks have recently demonstrated interesting results\nfor single image super-resolution. However, these networks were trained to deal\nwith super-resolution problem on natural images. In this paper, we adapt a deep\nnetwork, which was proposed for natural images superresolution, to single text\nimage super-resolution. To evaluate the network, we present our database for\nsingle text image super-resolution. Moreover, we propose to combine Gradient\nDifference Loss (GDL) with L1/L2 loss to enhance edges in super-resolution\nimage. Quantitative and qualitative evaluations on our dataset show that adding\nthe GDL improves the super-resolution results.","url_abs":"http://arxiv.org/abs/1811.10449v1","url_pdf":"http://arxiv.org/pdf/1811.10449v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"deep-laplacian-pyramid-network-for-text","repo_url":"https://github.com/t2mhanh/LapSRN_TextImages_git","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"image-super-resolution","task_name":"Image Super-Resolution"},{"task_slug":"super-resolution","task_name":"Super-Resolution"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1811.10449","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}