OBJECT REMOVAL SYSTEM FOR URBAN IMAGERY USING IMAGE SEGMENTATION AND INPAINTING WITH A DEEP LEARNING APPROACH
Digital imagery is a two-dimensional visual representation, which often holds emotional significance and crucial information. However, in images, specifically urban imagery, unwanted objects frequently appear. To address this issue, a system capable of automatically selecting areas with unwanted...
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Main Author: | Aqila Amarendra, Eiffel |
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/82482 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
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