Host: The Japanese Society for Artificial Intelligence
Name : 34th Annual Conference, 2020
Number : 34
Location : Online
Date : June 09, 2020 - June 12, 2020
In recent years, image quality has been significantly improved. The currently available digital cameras can produce high resolution images. Such high-resolution images may contain unwanted information for image owner. An automatic filtering method for such information is desired. However, existing methods cause artifact in the processed image. In this paper, we propose a method for solving such problems. We first downsample an image to remove the unwanted information and then recover the image to its original resolution using a super-resolution network. This method can remove unwanted information from the image while maintaining the naturalness of the image. Using the CelebAMask-HQ and Urban100 datasets, we show the filtering performance of the proposal method by quantitative evaluation (PSNR) and qualitative evaluation (Visual check by human).