Reduced reference quality metric for depth images

Abstract

In this paper, a new quality metric for depth images is proposed. Unlike the conventional depth metrics which require the additional information such as the ground truth depth image or a stereo image pair, the proposed quality metric demands only a single camera image and its corresponding depth image. In this work, we first empirically observe that the depth distortion is closely related to the local image characteristics. Based on the observation, we introduce a method to assess the local depth distortion for the edge and nonedge regions. Then, the local distortion is adaptively weighted by the Gabor filter and added up to the quality metric for the depth image.