@InProceedings{NascimentoLaroMeno:2023:SuToLi,
               author = "Nascimento, Valfride and Laroca, Rayson and Menotti, David",
          affiliation = "{Universidade Federal do Paran{\'a}} and {Universidade Federal do 
                         Paran{\'a}} and {Universidade Federal do Paran{\'a}}",
                title = "Super-Resolution Towards License Plate Recognition",
            booktitle = "Proceedings...",
                 year = "2023",
               editor = "Clua, Esteban Walter Gonzalez and K{\"o}rting, Thales Sehn and 
                         Paulovich, Fernando Vieira and Feris, Rogerio",
         organization = "Conference on Graphics, Patterns and Images, 36. (SIBGRAPI)",
             keywords = "PixelShuffle, Reconstruction, Super-Resolution.",
             abstract = "Recent years have seen significant developments in license plate 
                         recognition through the integration of deep learning techniques 
                         and the increasing availability of training data. Nevertheless, 
                         reconstructing license plates from low-resolution surveillance 
                         footage remains challenging. To address this issue, we propose an 
                         attention-based super-resolution approach that incorporates 
                         sub-pixel convolution layers and an Optical Character Recognition 
                         (OCR)-based loss function. We trained the proposed architecture on 
                         synthetic images created by applying heavy Gaussian noise followed 
                         by bicubic downsampling to high-resolution license plate images. 
                         Our results show that the proposed approach for reconstructing 
                         these low-resolution images substantially outperforms existing 
                         methods in both quantitative and qualitative measures. Our source 
                         code is publicly available at 
                         https://github.com/valfride/lpr-rsr-ext/.",
  conference-location = "Rio Grande, RS",
      conference-year = "Nov. 06-09, 2023",
             language = "en",
                  ibi = "8JMKD3MGPEW34M/4ACGJTH",
                  url = "http://urlib.net/ibi/8JMKD3MGPEW34M/4ACGJTH",
           targetfile = "2023_SIBGRAPI_WTD_Valfride.pdf",
        urlaccessdate = "2024, Apr. 29"
}