Yi Zhang
Orcid: 0000-0002-4070-4649Affiliations:
- Xi'an Jiaotong University, School of Electronic and Information Engineering, China
- Shizuoka University, Department of Electrical and Electronic Engineering, Japan (2016 - 2018)
- Oklahoma State University, Stillwater, OK, USA (PhD 2015)
According to our database1,
Yi Zhang
authored at least 19 papers
between 2013 and 2023.
Collaborative distances:
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Bibliography
2023
Deep steerable pyramid wavelet network for unified JPEG compression artifact reduction.
Signal Process. Image Commun., October, 2023
2022
Multi-domain residual encoder-decoder networks for generalized compression artifact reduction.
J. Vis. Commun. Image Represent., 2022
2021
Quality assessment of multiply and singly distorted stereoscopic images via adaptive construction of cyclopean views.
Signal Process. Image Commun., 2021
2020
Learning No-Reference Quality Assessment of Multiply and Singly Distorted Images With Big Data.
IEEE Trans. Image Process., 2020
A Semi-Supervised High-Level Feature Selection Framework for Road Centerline Extraction.
IEEE Geosci. Remote. Sens. Lett., 2020
2018
Quality Assessment of Screen Content Images via Convolutional-Neural-Network-Based Synthetic/Natural Segmentation.
IEEE Trans. Image Process., 2018
Opinion-Unaware Blind Quality Assessment of Multiply and Singly Distorted Images via Distortion Parameter Estimation.
IEEE Trans. Image Process., 2018
J. Imaging, 2018
Perspectives on the definition of visually lossless quality for mobile and large format displays.
J. Electronic Imaging, 2018
A Review of Recent Advances in Identity Identification Technology Based on Biological Features.
Proceedings of the Big Data - 6th CCF Conference, 2018
LaG-DESIQUE: A Local-and-Global Blind Image Quality Evaluator Without Training on Human Opinion Scores.
Proceedings of the Big Data - 6th CCF Conference, 2018
2017
Reduced-reference image quality assessment based on distortion families of local perceived sharpness.
Signal Process. Image Commun., 2017
Learning natural statistics of binocular contrast for no reference quality assessment of stereoscopic images.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
On the Perceptual Factors Underlying the Quality of PostCompression Enhancement of Textures.
Proceedings of the Human Vision and Electronic Imaging 2017, Burlingame, CA, USA, 29 January 2017, 2017
Industry and business perspectives on the distinctions between visually lossless and lossy video quality: Mobile and large format displays.
Proceedings of the Human Vision and Electronic Imaging 2017, Burlingame, CA, USA, 29 January 2017, 2017
2015
3D-MAD: A Full Reference Stereoscopic Image Quality Estimator Based on Binocular Lightness and Contrast Perception.
IEEE Trans. Image Process., 2015
2014
C-DIIVINE: No-reference image quality assessment based on local magnitude and phase statistics of natural scenes.
Signal Process. Image Commun., 2014
2013
No-reference image quality assessment based on log-derivative statistics of natural scenes.
J. Electronic Imaging, 2013
An algorithm for no-reference image quality assessment based on log-derivative statistics of natural scenes.
Proceedings of the Image Quality and System Performance X, 2013