DIBR-Synthesized Image Quality Assessment via Statistics of Edge Intensity and Orientation-Reference-Cited by-同舟云学术

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DIBR-Synthesized Image Quality Assessment via Statistics of Edge Intensity and Orientation

Published:2017 Issue:8 Volume:E100.D Page:1929-1933
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

ZHOU Yu¹,LI Leida¹,GU Ke²,LU Zhaolin¹,CHEN Beijing³,TANG Lu¹

Affiliation:

1. School of Information and Control Engineering, China University of Mining and Technology

2. BJUT Faculty of Information Technology, Beijing University of Technology

3. School of Computer and Software, Nanjing University of Information Science and Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E100.D/8/E100.D_2016EDL8255/_pdf

Reference19 articles.

1. [1] Y.-C. Fan, P.-K. Huang, and D.-W. Shen, “3DTV depth map reconstruction based on structured light scheme,” IEEE Int. Instrum. Meas. Technol. Conf. (I2MTC), pp.835-838, 2013. 10.1109/i2mtc.2013.6555532

2. [2] E. Bosc, R. Pépion, P.L. Callet, M. Koppel, P. Ndjiki-Nya, M. Pressigout, and L. Morin, “Towards a new quality metric for 3-D synthesized view assessment,” IEEE J. Sel. Topics Signal Process., vol.5, no.7, pp.1332-1343, 2011. 10.1109/jstsp.2011.2166245

3. [3] Y.J. Jung, H.G. Kim, and Y.M. Ro, “Critical binocular asymmetry measure for the perceptual quality assessment of synthesized stereo 3D images in view synthesis,” IEEE Trans. Circuits Syst. Video Technol., vol.26, no.7, pp.1201-1214, 2016. 10.1109/tcsvt.2015.2430632

4. [4] P.H. Conze, P. Robert, and L. Morin, “Objective view synthesis quality assessment,” Proc. Electron. Imag. Int. Society for Optics and Photonics, pp.8288-8256, 2012. 10.1117/12.908762

5. [5] D. Sandic-Stankovic, D. Kukolj, and P.L. Callet, “DIBR synthesized image quality assessment based on morphological wavelets,” IEEE Int. Workshop on Quality of Multimedia Experience, pp.1-6, 2015. 10.1109/qomex.2015.7148143

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1. Multi-layer and Multi-scale feature aggregation for DIBR-Synthesized image quality assessment;Journal of Visual Communication and Image Representation;2023-06

2. Objective quality assessment of synthesized images by local variation measurement;Signal Processing: Image Communication;2021-03

3. Combining Retargeting Quality and Depth Perception Measures for Quality Evaluation of Retargeted Stereopairs;IEEE Transactions on Multimedia;2021

4. Measuring Coarse-to-Fine Texture and Geometric Distortions for Quality Assessment of DIBR-Synthesized Images;IEEE Transactions on Multimedia;2021

5. Fast Blind Quality Assessment of DIBR-Synthesized Video Based on High-High Wavelet Subband;IEEE Transactions on Image Processing;2019-11

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