%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2020/09.23.16.01
%2 sid.inpe.br/sibgrapi/2020/09.23.16.01.47
%@doi 10.1109/SIBGRAPI51738.2020.00021
%T A Conservative Sharpening Filter for Interpolated Images
%D 2020
%A Emmendorfer, Leonardo R.,
%@affiliation Federal Unifersity of Rio Grande
%E Musse, Soraia Raupp,
%E Cesar Junior, Roberto Marcondes,
%E Pelechano, Nuria,
%E Wang, Zhangyang (Atlas),
%B Conference on Graphics, Patterns and Images, 33 (SIBGRAPI)
%C Porto de Galinhas (virtual)
%8 7-10 Nov. 2020
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K interpolation, magnification, super-resolution.
%X 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.
%@language en
%3 PID6615177.pdf