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https://www.um.edu.mt/library/oar/handle/123456789/16506
Title: | Monoscopic inpainting approach using depth information |
Authors: | Seychell, Dylan Debono, Carl James |
Keywords: | Image processing Streaming technology (Telecommunications) Inpainting |
Issue Date: | 2016 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Citation: | Seychell, D., & Debono, C. J. (2016). Monoscopic inpainting approach using depth information. 18th Mediterranean Electrotechnical Conference (MELECON), Limassol. 1-5. |
Abstract: | Cheap depth sensors that can be integrated in consumer cameras provide additional data that can be used for improved post-processing results of the captured images. Removal of objects in a scene is one such editing procedure that demands inpainting techniques that limit noticeable artifacts generated in the process. In this paper, a monoscopic inpainting technique that uses depth information to process results is presented. It allows users to select an object from the foreground that needs to be removed and then inpaints this region from the neighborhood. This approach uses texture and depth information and is pipelined in a way that allows for parallelization. Results are returned in 0.034 seconds on average. A mean opinion score evaluation was carried out and the current technique scored an average of 3.24 from a scale of 5 on the quality of inpainted regions. This exercise was held to identify the attributes that need to be improved in future implementations. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/16506 |
Appears in Collections: | Scholarly Works - FacICTAI Scholarly Works - FacICTCCE |
Files in This Item:
File | Description | Size | Format | |
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Conference paper - Monoscopic inpainting approach using depth information.pdf Restricted Access | Monoscopic inpainting approach using depth information | 389.29 kB | Adobe PDF | View/Open Request a copy |
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