关于光场图像质量评价的一些论文和数据集的整理

Pseudo Video and Refocused Images-Based Blind Light Field Image Quality Assessment

NRIQA

2021 || CSVT ||

https://github.com/JianjunXiang/PVRI/tree/616b68ba13a959b42479f423b0425e2da6a57e8e

BELIF: Blind Quality evaluator of light field image with tensor structure variation index

NRIQA

2019 || ICIP || BELIF

陈志波个人主页

No Reference Light Field Image Quality Assessment Based on Spatial-Angular Measurement

NRIQA

2020 || CSVT || NR-LFQA

https://github.com/weizhou-geek/NR-LFQA

Tensor Oriented No-Reference Light Field Image Quality Assessment

NRIQA

2020 || ICIP || Tensor-NLFQ

https://github.com/weizhou-geek/Tensor-NLFQ

Light Field Image Quality Assessment via the Light Field Coherence

FRIQA

2020 || ICIP || LGF-LFC

找不到

A Metric for Light Field Reconstruction,Compression, and Display Quality Evaluation

FRIQA

2020 || ICIP ||

找不到

A Light Field Image Quality Assessment Model Based on Symmetry and Depth Features

FRIQA

2021 || CSVT || SDFM

找不到

A multi-order derivative feature-based quality assessment model for light field image

FRIQA

2018 || elsevier || MDFM

找不到

A No-Reference Image Quality Assessment Metric by Multiple Characteristics of Light Field Images

NRIQA

2019 || access ||

找不到

No-Reference Light Field Image Quality Assessment Based on Micro-Lens Image

NRIQA

2019 || PCS || LF-QMLI

找不到

New Quality Assessment Method for Dense Light Fields

FRIQA

2018 || SPIE ||

找不到

NRIQA

2021 || elsevier || DSA

https://github.com/JianjunXiang/DSA

Light Filed Image Quality Assessment by Local and Global Features of Epipolar Plane Image

FRIQA

2018 || BigMM ||

https://github.com/revere7/papers_code/tree/master/BigMM

Reduced Reference Quality Assessment of Light Field Images

RRIQA

2019 || BTS ||

https://github.com/weizhou-geek/LF-IQM

DeLFIQE—A Low-Complexity DeepLearning-Based Light Field ImageQuality Evaluator

Deeplearning

2021 || IEEE T INSTRUM MEAS || DeLFIQE

找不到

Name

where

abbreviation

content

distortions

url

Perceptual Evaluation of Light Field Image

2018-ICIP

Win5-LID

220 distorted LFIs with 6 distortion types

HEVC / JPEG2000 / LN / NN / two distortions from conv

陈志波个人主页    /   https://github.com/JianjunXiang/4D_DCT-LFIQA

Reconstruction Distortion Oriented Light Field Image Dataset for Visual Communication

2019-ISNCC

NBU1.0

210 distorted LFIs with 5 distortion types

NN / bicubic interpolation / learning based reconstruction / disparity map based reconstruction / spatial super-resolution reconstruction(3 levels)

https://github.com/JianjunXiang/PVRI/blob/616b68ba13a959b42479f423b0425e2da6a57e8e/README.txt

VALID: Visual quality Assessment for Light field Images Dataset

2018-QoMEX

VALID

8bits and 10bits LFIs

5 original LFIs and 40 8bits distorted with VP9 and HEVC(4 levels)

VALID: Visual quality Assessment for Light field Images Dataset ‒ MMSPG ‐ EPFL

A no-reference image quality assessment metric by multiple characteristics of light field images

2019-Access

240 distortion LFIs with 5 types

JPEG / JPEG2000 / Gaussian blur / motion blur / white noise(6 levels)

Towards a New Quality Metric for 3-D Synthesized View Assessment

2011-J-STSP

MPI-LFA

336 distorted LFIs

HEVC / LINEAR / NN / optical flow estimation(OPT) / quantized depth maps(DQ) / gaussian blur(6 levels)

Towards the perceptual quality evaluation of compressed light field images

2017-T-Broadcast

SMART

256 distorted LFIs

HEVC / JPEG / JPEG2000 / SSDC

COMLAB - Telecommunication Lab              (实验室的链接但是不知道为啥数据库的链接失效了)

Towards a quality metric for dense light fields

2017-CVPR

Dense Light Fields dataset

LINEAR / NN / OPT / DQ / GAUSS

Towards a quality metric for dense light fields

A Dataset and Evaluation Methodology for Depth Estimation on 4D Light Fields

2016-ACCV

4D Light Field Benchmark

The (New) Stanford Light Field Archive

The (New) Stanford Light Field Archive