# Quality Assessment of 3D Synthesized Images Based on Textural and Structural Distortion Estimation
## 5 Conclusions  
In this paper, a novel 3D-IQA metric was proposed to assess the quality of DIBR-synthesized images. The proposed method merges two metrics, one computing the deterioration in the texture of the synthesized image and the other computing the structural distortions introduced in the synthesized image due to DIBR and various other types of noise. The two measures are weighted-averaged to obtain the overall quality indicator. Experimental evaluations were performed on the MCL-3D dataset, which contains DIBR-synthesized images generated from color and depth images that were subject to different types of noise. The experimental results and comparisons with existing 2D and 3D-IQA metrics demonstrate that the proposed metric is accurate and reliable in assessing the quality of DIBR-synthesized 3D images.  
Conceptualization, H.M.U.H.A. and M.S.F.; methodology, H.M.U.H.A., M.S.F., M.H.K., M.G.; software, H.M.U.H.A., M.S.F.; validation, H.M.U.H.A., M.S.F. and M.H.K.; investigation, H.M.U.H.A., M.S.F., M.H.K., M.G.; writing--original draft preparation, H.M.U.H.A., M.S.F., M.H.K.; writing--review and editing, M.S.F., M.H.K., supervision, M.S.F., M.H.K., M.G.; project administration, M.S.F., M.H.K., M.G. All authors have read and agreed to the published version of the manuscript.  
\begin{table}
\begin{tabular}{l|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c} \hline
**[PERSON]** & **3 DSwIM** & **[PERSON]** & **[PERSON]** & **[PERSON]** & **PQM** & **[PERSON]** & **SIQM** & **StSD** & **[PERSON]\({}_{i}\)** & **[PERSON]** & **MIQSV** & **ST\_SIAQ** & **You\({}_{g}\)** & **Ours** \\ \hline  & AGJ\_IST & AGJ\_IST & AGJ\_IST & AGJ\_IST & AGJ\_IST & AGJ\_IST & AGJ\_IST & AGJ\_IST & AGJ\_IST & AGJ\_IST & AGJ\_IST & AGJ\_IST & AGJ\_IST & AGJ\_IST & AGJ\_IST & AGJ\_IST \\ \hline
3 DSwIM & \_----_0-00- & -0-00-0 & -0-00-00 & 00000 & -0-00-0 & -0-0-0 & -0-00- & 000000 & 00-10- & 0-0-0 & -0-001 & 0-0-011 & 00000- \\ [PERSON] & 1-11- & \_----_1 & 1-0-0- & 1-0- & 100000 & -00000 & 1-10- & 1-1 & ----_0-000 & 1011- & 1-1- & 0-0-1- & -0000 \\ Campisi & 1-11- & 0\_----_1 & 1-0- & 1-0- & -0000 & -00000 & -1-0- & 1-10- & 1-0- & -0000 & -011-1 & 1- & --0011 & 00000- \\ Gorley & 1-11- & 0\_----_0 & 0-1- & 0-1- & 0-1- & 0-00 & 0-00-00 & -10- & -11- & 0-1- & 0-1- & -00-000 & -011- & --11-0 & 0-0-1- & 00000 \\ PQM & 11111- & 0\_11111 & -11- & 11-11- & 0-0- & 0-0- & 111-11 & 11111 & 01111 & 01111- & 0-0- & -111- & 11111 & -1-11 & 0-0-00- \\ Ryu & 111111- & -11111 & 11111 & 1-11- & 1-11- & 11-11 & 11111 & -11111 & 11111 & 11111 & 11111 & 11111 & 11111 & 11111 & 1111 & 1111 & 1111 & 11-111 & 1-111 & 1-0-0- \\ SIQM & 1-1- & 0-01- & -01- & 0-01- & -01- & 00-00 & 0000- & ----_1- & 0-01- & 0-0-00 & -0-1- & -110 & 0-0-1- & 0-0-1- & -00000 \\ StSD & 1-1- & 0\_----_0 & 0-00- & -00- & 000000 & 000000 & ----_0- & 0-00- & 0000000 & -0- & 0000000 & -0-10- & -000000 & -0-10- & -000-1- & -000000 \\ You\({}_{i}\) & 1-11- & \_----_1 & 1- & 1-0- & 10000 & -00000 & 1-0- & 1-0- & 1-1 & 1-1 & -00000 & 10111 & 1-1- & 1-0011 & -0000 \\ Chen & 111111 & -11111 & 1-1111 & 11-111 & 10-1- & 1-11- & 11111 & 11111 & -11111 & -11111 & 1-1111 & 1-1111 & -11111 & -1111 & -1111 & -1111 & -1111 & -1111 & -1111 & -1111 & -1111 & -1111 & -111 & -1111 & -1111 & -1111 & -1111 & -111  
**Funding:** This research was partially supported by the Higher Education Commission, Pakistan, under project '3 DViCoQa' grant number NRPU-7389.  
**Institutional Review Board Statement:** Not applicable.  
**Informed Consent Statement:** Not applicable.  
**Conflicts of Interest:** The authors declare no conflict of interest.