Fixing distortions on images
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Dosyalar
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
People have long desired editing the defects on images and, removing or altering the corrupt regions of image data in a way that would not be detected by the neutral observer unaware of the original copy. Utilizing computers for such procedures have not only improved the quality of the work, but also eased the processes. However, notwithstanding in a computing environment, the procedures are still conducted manually. Image Inpainting method has enabled a faster and an automatic process. Video Inpainting on images can be done by using inpaint_telea and inpaint ns classes, which are both developed for Open CV Library. © 2020 IEEE.
Açıklama
5th International Conference on Computer Science and Engineering, UBMK 2020 -- 9 September 2020 through 10 September 2020 -- -- 164014
Anahtar Kelimeler
Image Inpainting, Navier Stokes Algorithm, Telea Algorithm, Computer science, Computers, Engineering, Industrial engineering, Computing environments, Image data, Image Inpainting, Open cv libraries, Video inpainting, Image processing
Kaynak
5th International Conference on Computer Science and Engineering, UBMK 2020
