Akkoca, EnginBuluş, Ercan2022-05-112022-05-112020978-1728175652https://doi.org/10.1109/UBMK50275.2020.9219370https://hdl.handle.net/20.500.11776/61275th International Conference on Computer Science and Engineering, UBMK 2020 -- 9 September 2020 through 10 September 2020 -- -- 164014People 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.tr10.1109/UBMK50275.2020.9219370info:eu-repo/semantics/closedAccessImage InpaintingNavier Stokes AlgorithmTelea AlgorithmComputer scienceComputersEngineeringIndustrial engineeringComputing environmentsImage dataImage InpaintingOpen cv librariesVideo inpaintingImage processingConference Object2852892-s2.0-85095707581