[POSTER] Toward Enhancing Robustness of DR System: Ranking Model for Background Inpainting
Mariko Isogawa, Dan Mikami, Kosuke Takahashi, Akira Kojima · 2015
A method for blindly predicting inpainted image quality is proposed for enhancing the robustness of diminished reality (DR), which uses inpainting to remove unwanted objects by replacing them with background textures in real time. The method maps from inpainted image features to subjective image quality scores without the need for reference images. It enables more complex background textures to be applied to DR.