@InProceedings{Emmendorfer:2020:CoShFi,
               author = "Emmendorfer, Leonardo R.",
          affiliation = "{Federal Unifersity of Rio Grande}",
                title = "A Conservative Sharpening Filter for Interpolated Images",
            booktitle = "Proceedings...",
                 year = "2020",
               editor = "Musse, Soraia Raupp and Cesar Junior, Roberto Marcondes and 
                         Pelechano, Nuria and Wang, Zhangyang (Atlas)",
         organization = "Conference on Graphics, Patterns and Images, 33. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "interpolation, magnification, super-resolution.",
             abstract = "Interpolation methods are computationally efficient and rather 
                         effective for magnification from low-resolution images in order to 
                         generate higher resolution images. However, blur and other 
                         undesirable visual artifacts are often produced during the 
                         process. This work evaluates a sharpening filter that enhances the 
                         quality of interpolated images by preserving information from the 
                         original low-resolution images. The novel filter was shown to 
                         achieve statistically significant increments in both the PSNR and 
                         SSIM of magnified RGB images using two image sets from the 
                         literature.",
  conference-location = "Porto de Galinhas (virtual)",
      conference-year = "7-10 Nov. 2020",
                  doi = "10.1109/SIBGRAPI51738.2020.00021",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI51738.2020.00021",
             language = "en",
                  ibi = "8JMKD3MGPEW34M/43AC6LH",
                  url = "http://urlib.net/ibi/8JMKD3MGPEW34M/43AC6LH",
           targetfile = "PID6615177.pdf",
        urlaccessdate = "2025, Mar. 16"
}