Blind depth quality assessment using histogram shape analysis

Multiview videos plus depth (MVD) is a popular 3D video rep-resentation where pixel depth information is exploited to gener-ate additional views to provide 3D experience. Quality assess-ment of MVD data is of paramount importance since the latest research results show that existing 2D quality metrics are not suit-able for MVD. This paper focuses on depth quality assessment and presents a novel algorithm to estimate the distortion in depth videos induced by compression. The proposed algorithm is no-reference and does not require any prior training or modeling. The proposed method is based solely on the statistical analysis of the compression sensitive pixels of depth images. The experimental results worked out on a standard MVD dataset show that the pro-posed algorithm exhibits a very high correlation with conventional full-reference metrics. Index Terms — Depth image quality metric, Free-viewpoint TV, Depth image based rendering, Quality assessmen