STEREOSCOPIC IMAGE QUALITY IN VIRTUAL ENVIRONMENTS

被引:0
|
作者
Boehs, Gustavo [1 ]
Vieira, Milton L. H. [1 ]
机构
[1] Univ Fed Santa Catarina, BR-88040900 Florianopolis, SC, Brazil
关键词
stereoscopic; quality assessment; virtual environments;
D O I
暂无
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
The number of products capable of displaying stereoscopic (also known as 3D) images has been growing in recent years. The use of this technology has outgrown the silver screen and is now available in televisions, computers, tablets, and even cell phones. Due to its nature, content created for stereoscopic media requires attention in relation to some characteristics not present in the context of monoscopic media. With a focus on image creation, the objective of this research was to assess how different stereoscopic image generation methods can affect human perception. To achieve this a virtual environment was created and from it different videos were generated using various methods including converging cameras, parallel cameras, and depth image-based rendering (DIBR). These videos were shown to participants who assessed the picture quality, depth quality, and visual comfort of the media. It was found that there was very little difference between the perception of images generated by parallel and convergent cameras, while there was a substantial difference in terms of perception between these two types of image and DIBR images. Such results can significantly affect the choice of technology for stereoscopic image generation, influencing the production costs, the methods involved, and human and machine time consumption.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] A ParaBoost stereoscopic image quality assessment (PBSIQA) system
    Ko, Hyunsuk
    Song, Rui
    Kuo, C. -C. Jay
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2017, 45 : 156 - 169
  • [22] Subjective and Objective Quality Assessment for Stereoscopic Image Retargeting
    Fu, Zhenqi
    Shao, Feng
    Jiang, Qiuping
    Meng, Xiangchao
    Ho, Yo-Sung
    IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 23 : 2100 - 2113
  • [23] A Study of Perceptual Quality Assessment for Stereoscopic Image Retargeting
    Fu, Zhenqi
    Yang, Yan
    Shao, Feng
    Ding, Xinghao
    2019 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 2019, : 2021 - 2024
  • [24] Saliency structure stereoscopic image quality assessment method
    Chu, Xiu-qin
    Wu, Yuan-Yuan
    Li, Qian
    OPTIK, 2014, 125 (02): : 704 - 709
  • [25] Objective Quality Assessment of JPEG Distorted Stereoscopic Image
    Shen, Yinghua
    Lu, Chaohui
    Ren, Hui
    PROCEEDINGS OF 2012 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2012), 2012, : 935 - 938
  • [26] UNIVERSAL BLIND IMAGE QUALITY ASSESSMENT FOR STEREOSCOPIC IMAGES
    Fezza, Sid Ahmed
    Chetouani, Aladine
    Larabi, Mohamed-Chaker
    2016 3DTV-CONFERENCE: THE TRUE VISION - CAPTURE, TRANSMISSION AND DISPLAY OF 3D VIDEO (3DTV-CON), 2016,
  • [27] Smoothing depth maps for improved stereoscopic image quality
    Tam, WJ
    Alain, G
    Zhang, L
    Martin, T
    Renaud, R
    THREE-DIMENSIONAL TV, VIDEO, AND DISPLAYS III, 2004, 5599 : 162 - 172
  • [28] Measuring stereoscopic image quality experience with interpretation based quality methodology
    Hakkinen, Jukka
    Kawai, Takashi
    Takatalo, Jari
    Leisti, Tuomas
    Radun, Jenni
    Hirsaho, Anni
    Nyman, Gote
    IMAGE QUALITY AND SYSTEM PERFORMANCE V, 2008, 6808
  • [29] A NEW METRIC OF IMAGE QUALITY ASSESSMENT FOR STEREOSCOPIC CONTENT
    Moreno, Jaime
    Rizzi, Alessandro
    Fernandez-Maloigne, Christine
    2015 DATA COMPRESSION CONFERENCE (DCC), 2015, : 462 - 462
  • [30] Rich Structural Index for Stereoscopic Image Quality Assessment
    Zhang, Hua
    Hu, Xinwen
    Gou, Ruoyun
    Zhang, Lingjun
    Zheng, Bolun
    Shen, Zhuonan
    SENSORS, 2022, 22 (02)