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Achieving Privacy By Image Inpainting

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dc.contributor.author Almaas, Madeeha
dc.date.accessioned 2023-08-18T10:53:46Z
dc.date.available 2023-08-18T10:53:46Z
dc.date.issued 2020
dc.identifier.other 172413
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/36898
dc.description Supervisor: Dr. Syed Taha Ali en_US
dc.description.abstract With the boost of social media, tons of personal images and videos are being shared. With this immense sharing, people want privacy as well as visually more appealing images. Traditional filters like pixelate, blur and other ob fuscating filters provide privacy but also make the images and videos less attractive. As we know the social media content is consumed by human that’s why visual aesthetics have a large impact on images. Most of the previous literature focused on the privacy and did not take visual aesthetics in a primary attention. A survey was conducted to find the trade-off re sult between privacy and visual aesthetics, and filters used on images and videos were different due to their unique parameters. We have also used our own techniques to maximize the privacy and minimize its effect on the video aesthetics. en_US
dc.language.iso en en_US
dc.publisher School of Electrical Engineering and Computer Science NUST SEECS en_US
dc.title Achieving Privacy By Image Inpainting en_US
dc.type Thesis en_US


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