An intelligent vehicle image segmentation and quality assessment model

Zehui Qu, Zhongsheng Chen

Abstract: Highlights•In this paper, we propose a novel full-reference image quality assessment (FR-IQA) towards vehicle scene.•More specifically, we first leverage background subtraction to obtain foreground pixels, which represents the vehicle silhouette.•We design FR-IQA based on feature similarity index.