A Layered Approach for Quality Assessment of DIBR-Synthesized Images

Multiview video plus depth (MVD) is a popular video format that supports three-dimensional television (3DTV) and free viewpoint television (FTV). 3DTV and FTV provide depth sensation to the viewer by presenting two views of the same scene but with slightly different angles. In MVD, few views are cap...

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Autores principales:	Rafia Mansoor, Muhammad Shahid Farid, Muhammad Hassan Khan, Asma Maqsood
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology T Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/1ce85debf4d44a21a7324d686dc1bbe8
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id	oai:doaj.org-article:1ce85debf4d44a21a7324d686dc1bbe8
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spelling	oai:doaj.org-article:1ce85debf4d44a21a7324d686dc1bbe82021-11-22T01:10:59ZA Layered Approach for Quality Assessment of DIBR-Synthesized Images1530-867710.1155/2021/8377936https://doaj.org/article/1ce85debf4d44a21a7324d686dc1bbe82021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8377936https://doaj.org/toc/1530-8677Multiview video plus depth (MVD) is a popular video format that supports three-dimensional television (3DTV) and free viewpoint television (FTV). 3DTV and FTV provide depth sensation to the viewer by presenting two views of the same scene but with slightly different angles. In MVD, few views are captured, and each view has the color image and the corresponding depth map which is used in depth image-based rendering (DIBR) to generate views at novel viewpoints. The DIBR can introduce various artifacts in the synthesized view resulting in poor quality. Therefore, evaluating the quality of the synthesized image is crucial to provide an appreciable quality of experience (QoE) to the viewer. In a 3D scene, objects are at a different distance from the camera, characterized by their depth. In this paper, we investigate the effect that objects at a different distance make on the overall QoE. In particular, we find that the quality of the closer objects contributes more to the overall quality as compared to the background objects. Based on this phenomenon, we propose a 3D quality assessment metric to evaluate the quality of the synthesized images. The proposed metric using the depth of the scene divides the image into different layers where each layer represents the objects at a different distance from the camera. The quality of each layer is individually computed, and their scores are pooled together to obtain a single quality score that represents the quality of the synthesized image. The performance of the proposed metric is evaluated on two benchmark DIBR image databases. The results show that the proposed metric is highly accurate and performs better than most existing 2D and 3D quality assessment algorithms.Rafia MansoorMuhammad Shahid FaridMuhammad Hassan KhanAsma MaqsoodHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Telecommunication TK5101-6720
spellingShingle	Technology T Telecommunication TK5101-6720 Rafia Mansoor Muhammad Shahid Farid Muhammad Hassan Khan Asma Maqsood A Layered Approach for Quality Assessment of DIBR-Synthesized Images
description	Multiview video plus depth (MVD) is a popular video format that supports three-dimensional television (3DTV) and free viewpoint television (FTV). 3DTV and FTV provide depth sensation to the viewer by presenting two views of the same scene but with slightly different angles. In MVD, few views are captured, and each view has the color image and the corresponding depth map which is used in depth image-based rendering (DIBR) to generate views at novel viewpoints. The DIBR can introduce various artifacts in the synthesized view resulting in poor quality. Therefore, evaluating the quality of the synthesized image is crucial to provide an appreciable quality of experience (QoE) to the viewer. In a 3D scene, objects are at a different distance from the camera, characterized by their depth. In this paper, we investigate the effect that objects at a different distance make on the overall QoE. In particular, we find that the quality of the closer objects contributes more to the overall quality as compared to the background objects. Based on this phenomenon, we propose a 3D quality assessment metric to evaluate the quality of the synthesized images. The proposed metric using the depth of the scene divides the image into different layers where each layer represents the objects at a different distance from the camera. The quality of each layer is individually computed, and their scores are pooled together to obtain a single quality score that represents the quality of the synthesized image. The performance of the proposed metric is evaluated on two benchmark DIBR image databases. The results show that the proposed metric is highly accurate and performs better than most existing 2D and 3D quality assessment algorithms.
format	article
author	Rafia Mansoor Muhammad Shahid Farid Muhammad Hassan Khan Asma Maqsood
author_facet	Rafia Mansoor Muhammad Shahid Farid Muhammad Hassan Khan Asma Maqsood
author_sort	Rafia Mansoor
title	A Layered Approach for Quality Assessment of DIBR-Synthesized Images
title_short	A Layered Approach for Quality Assessment of DIBR-Synthesized Images
title_full	A Layered Approach for Quality Assessment of DIBR-Synthesized Images
title_fullStr	A Layered Approach for Quality Assessment of DIBR-Synthesized Images
title_full_unstemmed	A Layered Approach for Quality Assessment of DIBR-Synthesized Images
title_sort	layered approach for quality assessment of dibr-synthesized images
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/1ce85debf4d44a21a7324d686dc1bbe8
work_keys_str_mv	AT rafiamansoor alayeredapproachforqualityassessmentofdibrsynthesizedimages AT muhammadshahidfarid alayeredapproachforqualityassessmentofdibrsynthesizedimages AT muhammadhassankhan alayeredapproachforqualityassessmentofdibrsynthesizedimages AT asmamaqsood alayeredapproachforqualityassessmentofdibrsynthesizedimages AT rafiamansoor layeredapproachforqualityassessmentofdibrsynthesizedimages AT muhammadshahidfarid layeredapproachforqualityassessmentofdibrsynthesizedimages AT muhammadhassankhan layeredapproachforqualityassessmentofdibrsynthesizedimages AT asmamaqsood layeredapproachforqualityassessmentofdibrsynthesizedimages
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A Layered Approach for Quality Assessment of DIBR-Synthesized Images

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