Tian, Y.[Yu],
Zeng, H.Q.[Huan-Qiang],
Xing, L.[Lu],
Chen, J.[Jing],
Zhu, J.Q.[Jian-Qing],
Ma, K.K.[Kai-Kuang],
A multi-order derivative feature-based quality assessment model for
light field image,
JVCIR(57), 2018, pp. 212-217.
Elsevier DOI
1812
Light field image, Image quality assessment, Multi-order derivative feature
BibRef
Tian, Y.[Yu],
Zeng, H.Q.[Huan-Qiang],
Hou, J.H.[Jun-Hui],
Chen, J.[Jing],
Zhu, J.Q.[Jian-Qing],
Ma, K.K.[Kai-Kuang],
A Light Field Image Quality Assessment Model Based on Symmetry and
Depth Features,
CirSysVideo(31), No. 5, 2021, pp. 2046-2050.
IEEE DOI
2105
BibRef
Chen, J.,
Hou, J.,
Chau, L.,
Light Field Denoising via Anisotropic Parallax Analysis in a CNN
Framework,
SPLetters(25), No. 9, September 2018, pp. 1403-1407.
IEEE DOI
1809
cameras, feature extraction, feedforward neural nets,
image denoising, image restoration,
light field (LF)
BibRef
Tian, Y.,
Zeng, H.,
Hou, J.,
Chen, J.,
Ma, K.,
Light Field Image Quality Assessment via the Light Field Coherence,
IP(29), 2020, pp. 7945-7956.
IEEE DOI
2007
Feature extraction, Image quality, Coherence, Image color analysis,
Distortion, Distortion measurement, Light field image,
image quality assessment
BibRef
Zhou, W.,
Shi, L.,
Chen, Z.,
Zhang, J.,
Tensor Oriented No-Reference Light Field Image Quality Assessment,
IP(29), 2020, pp. 4070-4084.
IEEE DOI
2002
Light field, image quality assessment, objective model,
tensor theory, angular consistency
BibRef
Shi, L.,
Zhou, W.,
Chen, Z.,
Zhang, J.,
No-Reference Light Field Image Quality Assessment Based on
Spatial-Angular Measurement,
CirSysVideo(30), No. 11, November 2020, pp. 4114-4128.
IEEE DOI
2011
Feature extraction, Image quality,
Visualization,
angular consistency
BibRef
Shi, L.,
Zhao, S.,
Chen, Z.,
Belif: Blind Quality Evaluator Of Light Field Image With Tensor
Structure Variation Index,
ICIP19(3781-3785)
IEEE DOI
1910
Light field, Image quality assessment, Objective model, Tensor,
Angular consistency
BibRef
Xiang, J.J.[Jian-Jun],
Yu, M.[Mei],
Jiang, G.Y.[Gang-Yi],
Xu, H.Y.[Hai-Yong],
Song, Y.[Yang],
Ho, Y.S.[Yo-Sung],
Pseudo Video and Refocused Images-Based Blind Light Field Image
Quality Assessment,
CirSysVideo(31), No. 7, July 2021, pp. 2575-2590.
IEEE DOI
2107
Visualization, Light fields, Feature extraction,
Quality assessment, Image quality, Shearlet transform
BibRef
Xiang, J.J.[Jian-Jun],
Jiang, G.Y.[Gang-Yi],
Yu, M.[Mei],
Jiang, Z.[Zhidi],
Ho, Y.S.[Yo-Sung],
No-Reference Light Field Image Quality Assessment Using
Four-Dimensional Sparse Transform,
MultMed(25), 2023, pp. 457-472.
IEEE DOI
2302
Feature extraction, Image coding, Frequency-domain analysis,
Tensors, Principal component analysis, Periodic structures,
spatial-angular quality
BibRef
Xiang, J.J.[Jian-Jun],
Chen, P.[Peng],
Dang, Y.J.[Yuan-Jie],
Liang, R.H.[Rong-Hua],
Jiang, G.Y.[Gang-Yi],
Pseudo Light Field Image and 4D Wavelet-Transform-Based
Reduced-Reference Light Field Image Quality Assessment,
MultMed(26), 2024, pp. 929-943.
IEEE DOI
2402
Wavelet transforms, Data mining, Feature extraction, Redundancy,
Wavelet domain, Spatial resolution, Light fields,
view synthesis
BibRef
Meng, C.L.[Chun-Li],
An, P.[Ping],
Huang, X.P.[Xin-Peng],
Yang, C.[Chao],
Liu, D.Y.[De-Yang],
Full Reference Light Field Image Quality Evaluation Based on
Angular-Spatial Characteristic,
SPLetters(27), 2020, pp. 525-529.
IEEE DOI
2005
Dogs, Image quality, Feature extraction, Frequency-domain analysis,
Light fields, Cameras, Lenses, Angular-spatial,
difference of Gaussian
BibRef
Wen, W.Y.[Wen-Ying],
Wei, K.K.[Kang-Kang],
Fang, Y.M.[Yu-Ming],
Zhang, Y.S.[Yu-Shu],
Visual Quality Assessment for Perceptually Encrypted Light Field
Images,
CirSysVideo(31), No. 7, July 2021, pp. 2522-2534.
IEEE DOI
2107
Visualization, Encryption, Image databases, Measurement,
Visual quality assessment, perceptual encryption,
epipolar plane image
BibRef
Chai, X.L.[Xiong-Li],
Shao, F.[Feng],
Jiang, Q.P.[Qiu-Ping],
Wang, X.J.[Xue-Jin],
Xu, L.[Long],
Ho, Y.S.[Yo-Sung],
Blind Quality Evaluator of Light Field Images by Group-Based
Representations and Multiple Plane-Oriented Perceptual
Characteristics,
MultMed(26), 2024, pp. 607-622.
IEEE DOI
2402
Feature extraction, Visualization, Sensor arrays, Light fields,
Cameras, Electronic mail, Degradation, Light field images,
3D Log-Gabor filters
BibRef
Huang, H.L.[Hai-Liang],
Zeng, H.Q.[Huan-Qiang],
Hou, J.H.[Jun-Hui],
Chen, J.[Jing],
Zhu, J.Q.[Jian-Qing],
Ma, K.K.[Kai-Kuang],
A Spatial and Geometry Feature-Based Quality Assessment Model for the
Light Field Images,
IP(31), 2022, pp. 3765-3779.
IEEE DOI
2206
Feature extraction, Geometry, Visualization, Transforms,
Distortion measurement, Image quality, Degradation,
3D-Gabor filter
BibRef
Meng, C.L.[Chun-Li],
An, P.[Ping],
Huang, X.P.[Xin-Peng],
Yang, C.[Chao],
Shen, L.Q.[Li-Quan],
Wang, B.[Bin],
Objective Quality Assessment of Lenslet Light Field Image Based on
Focus Stack,
MultMed(24), 2022, pp. 3193-3207.
IEEE DOI
2207
Distortion, Light fields, Image coding, Indexes, Cameras,
Image quality, Microoptics, Angular-spatial feature, Focus stack, Refocus
BibRef
Alamgeer, S.[Sana],
Farias, M.C.Q.[Mylène C.Q.],
A survey on visual quality assessment methods for light fields,
SP:IC(110), 2023, pp. 116873.
Elsevier DOI
2212
Survey, Light Field Quality. 4D light field images and videos, Quality assessment methods,
Human visual system, Quality metrics
BibRef
Ma, J.[Jian],
Zhang, X.Y.[Xiao-Yin],
Jin, C.[Cheng],
An, P.[Ping],
Xu, G.M.[Guo-Ming],
Light Field Image Quality Assessment Using Natural Scene Statistics
and Texture Degradation,
CirSysVideo(34), No. 3, March 2024, pp. 1696-1711.
IEEE DOI
2403
Feature extraction, Measurement, Image quality,
Computational modeling, Visualization, Solid modeling,
support vector regression
BibRef
Li, F.[Fucui],
Ye, M.M.[Meng-Meng],
Shao, F.[Feng],
Blind quality assessment of light field image based on view and focus
stacks,
JVCIR(99), 2024, pp. 104074.
Elsevier DOI
2403
Light field, Blind quality assessment,
Spatiotemporal Gabor filters, Sub-aperture images
BibRef
Cui, Y.[Yueli],
Jiang, G.Y.[Gang-Yi],
Yu, M.[Mei],
Chen, Y.[Yeyao],
Ho, Y.S.[Yo-Sung],
Stitched Wide Field of View Light Field Image Quality Assessment:
Benchmark Database and Objective Metric,
MultMed(26), 2024, pp. 5092-5107.
IEEE DOI
2404
Measurement, Databases, Visualization, Degradation, Image stitching,
Distortion, Benchmark testing, Benchmark database,
stitched wide field of view light field image (WLFI)
BibRef
Zhang, Z.Y.[Zheng-Yu],
Tian, S.[Shishun],
Zhou, J.J.[Jin-Jia],
Morin, L.[Luce],
Zhang, L.[Lu],
A New Benchmark Database and Objective Metric for Light Field Image
Quality Evaluation,
CirSysVideo(35), No. 3, March 2025, pp. 2382-2397.
IEEE DOI Code:
WWW Link.
2503
Distortion, Databases, Measurement, Image reconstruction,
Superresolution, Benchmark testing, Spatial resolution,
no-reference metric
BibRef
Zhou, R.[Rui],
Jiang, G.Y.[Gang-Yi],
Zhu, L.W.[Lin-Wei],
Cui, Y.[Yueli],
Luo, T.[Ting],
Blind Light Field Image Quality Assessment via Frequency Domain
Analysis and Auxiliary Learning,
SPLetters(32), 2025, pp. 711-715.
IEEE DOI
2502
Measurement, Feature extraction, Discrete cosine transforms,
Distortion, Light fields, Spatial resolution, Visualization,
light field
See also Supervised Dictionary Learning for Blind Image Quality Assessment Using Quality-Constraint Sparse Coding.
BibRef
Zhang, Z.Y.[Zheng-Yu],
Tian, S.S.[Shi-Shun],
Zou, W.B.[Wen-Bin],
Zhang, Y.H.[Yu-Hang],
Morin, L.[Luce],
Zhang, L.[Lu],
Blind Quality Assessment of Light Field Image Based on Spatio-Angular
Textural Variation,
ICIP23(2385-2389)
IEEE DOI Code:
WWW Link.
2312
BibRef
Zhang, Z.Y.[Zheng-Yu],
Tian, S.S.[Shi-Shun],
Zou, W.B.[Wen-Bin],
Morin, L.[Luce],
Zhang, L.[Lu],
Deeblif: Deep Blind Light Field Image Quality Assessment by
Extracting Angular and Spatial Information,
ICIP22(2266-2270)
IEEE DOI
2211
Measurement, Image quality, Codes, Training data, Predictive models,
Media, Feature extraction, Immersive media, light field, CNN
BibRef
Tamboli, R.R.,
Kara, P.A.,
Cserkaszky, A.,
Barsi, A.,
Martini, M.G.,
Appina, B.,
Channappayya, S.S.,
Jana, S.,
3D Objective Quality Assessment of Light Field Video Frames,
3DTV-CON18(1-4)
IEEE DOI
1812
cameras, video signal processing,
light field displays, light field content creation,
objective metric
BibRef
Cserkaszky, A.,
Kara, P.A.,
Barsi, A.,
Martini, M.G.,
Expert Evaluation of a Novel Light-Field Visualization Format,
3DTV-CON18(1-4)
IEEE DOI
1812
data visualisation, light-field content creation,
conventional linear camera array visualization,
perceived quality assessment
BibRef
Adhikarla, V.K.,
Vinkler, M.,
Sumin, D.,
Mantiuk, R.K.,
Myszkowski, K.,
Seidel, H.P.,
Didyk, P.,
Towards a Quality Metric for Dense Light Fields,
CVPR17(3720-3729)
IEEE DOI
1711
Distortion, Image reconstruction, Measurement, Optical distortion,
Videos
BibRef
Paudyal, P.,
Battisti, F.,
Carli, M.,
Effect of visualization techniques on subjective quality of light
field images,
ICIP17(196-200)
IEEE DOI
1803
cameras, image reconstruction, image resolution, image sensors,
rendering (computer graphics).
Visualization
BibRef
Paudyal, P.,
Battisti, F.,
Neri, A.,
Carli, M.,
A study of the impact of light fields watermarking on the perceived
quality of the refocused data,
3DTV-CON15(1-4)
IEEE DOI
1508
Arrays
BibRef
Kara, P.A.,
Cserkaszky, A.,
Barsi, A.,
Papp, T.,
Martini, M.G.,
Bokor, L.,
The interdependence of spatial and angular resolution in the quality
of experience of light field visualization,
IC3D17(1-8)
IEEE DOI
1804
data visualisation, image motion analysis, image resolution,
stereo image processing, visual perception, 3D visual experience,
spatial resolution
BibRef
Shi, L.,
Zhao, S.,
Zhou, W.,
Chen, Z.,
Perceptual Evaluation of Light Field Image,
ICIP18(41-45)
IEEE DOI
1809
Databases, Interpolation, Image quality, Distortion,
Transform coding, Image coding, Image reconstruction, Light field,
Perceptual evaluation
BibRef
Darukumalli, S.,
Kara, P.A.,
Barsi, A.,
Martini, M.G.,
Balogh, T.,
Subjective quality assessment of zooming levels and image
reconstructions based on region of interest for light field displays,
IC3D16(1-6)
IEEE DOI
1703
image reconstruction
BibRef
Kara, P.A.,
Martini, M.G.,
Kovacs, P.T.,
Imre, S.,
Barsi, A.,
Lackner, K.,
Balogh, T.,
Perceived quality of angular resolution for light field displays and
the validy of subjective assessment,
IC3D16(1-7)
IEEE DOI
1703
image resolution
BibRef
Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Light Field Compressed Sensing .