Yi Zhang

Orcid: 0000-0002-4070-4649

Affiliations:
  • 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 21 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Reference-Based Multi-Stage Progressive Restoration for Multi-Degraded Images.
IEEE Trans. Image Process., 2024

Deep neural network based distortion parameter estimation for blind quality measurement of stereoscopic images.
Signal Process. Image Commun., 2024

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

GPU Acceleration of the Most Apparent Distortion Image Quality Assessment Algorithm.
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


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