DOIONLINE

DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-18034

Publish In
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN
Journal Home
Volume Issue
Issue
Volume-9,Issue-6  ( Jun, 2021 )
Paper Title
Image Reconstruction using Lighter Version of Conditional Generative Adversarial Networks
Author Name
Himanshu, Kartik Maggo, Mohit Pandey, Priyanka Jain
Affilition
ECE Department, Delhi Technological University
Pages
9-13
Abstract
A new model to fill the tampered portion of an image using lighter version of Conditional Generative Adversarial Network (GANs) has been proposed in this paper. Lighter mean a system which uses lesser number of parameters and simple network structure. Also, a User Interface (UI) for the object removal and reconstruction part has been made in this work, where a mouse controls is used to mark the object for removal. It gives better results when compared to other similar works in the literature and it also facilitates lesser number of model arguments. Keywords - GANs, Image Reconstruction, Deep Learning, Open CV
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