Objective View Synthesis Quality Assessment

被引:17
|
作者
Conze, Pierre-Henri [1 ,2 ]
Robert, Philippe [1 ]
Morin, Luce [2 ]
机构
[1] Technicolor, Rennes, France
[2] CNRS 6164 UMR, INSA, IETR, Rennes, France
关键词
View Synthesis; Image Quality Assessment; Quality Metrics; Free-viewpoints Video; 3DTV; IMAGE; INFORMATION;
D O I
10.1117/12.908762
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
View synthesis brings geometric distortions which are not handled efficiently by existing image quality assessment metrics. Despite the widespread of 3-D technology and notably 3D television (3DTV) and free-viewpoints television (FTV), the field of view synthesis quality assessment has not yet been widely investigated and new quality metrics are required. In this study, we propose a new full-reference objective quality assessment metric: the View Synthesis Quality Assessment (VSQA) metric. Our method is dedicated to artifacts detection in synthesized view-points and aims to handle areas where disparity estimation may fail: thin objects, object borders, transparency, variations of illumination or color differences between left and right views, periodic objects. The key feature of the proposed method is the use of three visibility maps which characterize complexity in terms of textures, diversity of gradient orientations and presence of high contrast. Moreover, the VSQA metric can be defined as an extension of any existing 2D image quality assessment metric. Experimental tests have shown the effectiveness of the proposed method.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] NeRF View Synthesis: Subjective Quality Assessment and Objective Metrics Evaluation
    Martin, Pedro
    Rodrigues, Antonio
    Ascenso, Joao
    Paula Queluz, Maria
    IEEE ACCESS, 2025, 13 : 26 - 41
  • [2] Rendered virtual view image objective quality assessment
    Lu Gang
    Li Xiangchun
    Zhang Yi
    Peng Kai
    INTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2013: IMAGING SPECTROMETER TECHNOLOGIES AND APPLICATIONS, 2013, 8910
  • [3] Objective software quality assessment
    Johnson, G
    Yu, XB
    1999 IEEE NUCLEAR SCIENCE SYMPOSIUM - CONFERENCE RECORD, VOLS 1-3, 1999, : 1691 - 1698
  • [4] Objective quality measures assessment
    Leachtenauer, JC
    VISUAL INFORMATION PROCESSING XI, 2002, 4736 : 9 - 16
  • [5] OBJECTIVE ASSESSMENT OF TROMBONE QUALITY
    PRATT, RL
    BOWSHER, JM
    JOURNAL OF SOUND AND VIBRATION, 1979, 65 (04) : 521 - 547
  • [6] Objective assessment of image quality
    Kupinski, MA
    Clarkson, E
    SMALL ANIMAL SPECT IMAGING, 2005, : 101 - 114
  • [7] Objective video quality assessment
    Lee, C
    Cho, S
    Choe, J
    Jeong, T
    Ahn, W
    Lee, E
    OPTICAL ENGINEERING, 2006, 45 (01)
  • [8] OBJECTIVE ASSESSMENT OF PORK QUALITY
    GARRIDO, MD
    PEDAUYE, J
    BANON, S
    LAENCINA, J
    MEAT SCIENCE, 1994, 37 (03) : 411 - 420
  • [9] Quality Assessment of View Synthesis Based on Visual Saliency and Texture Naturalness
    Tang, Lijuan
    Sun, Kezheng
    Huang, Shuaifeng
    Wang, Guangcheng
    Jiang, Kui
    ELECTRONICS, 2022, 11 (09)
  • [10] Quality assessment of view synthesis based on unsupervised quality-aware pre-training
    Shi, Haozhi
    Huang, Yipo
    Wang, Lizhe
    Wang, Lanmei
    APPLIED SOFT COMPUTING, 2024, 154