Opto-Electronic Engineering, Volume. 51, Issue 9, 240139-1(2024)
No-reference light field image quality assessment based on joint spatial-angular information
[1] Zuo C, Chen Q. Computational optical imaging: an overview[J]. Infrared Laser Eng, 51, 20220110(2022).
[2] Xiang J J, Jiang G Y, Yu M et al. No-reference light field image quality assessment using four-dimensional sparse transform[J]. IEEE Trans Multimedia, 25, 457-472(2023).
[3] Lv T Q, Wu Y C, Zhao X L. Light field image super-resolution network based on angular difference enhancement[J]. Opto-Electron Eng, 50, 220185(2023).
[4] Yu M, Liu C. Single exposure light field imaging based all-in-focus image reconstruction technology[J]. J Appl Opt, 42, 71-78(2021).
[5] Tian Y, Zeng H Q, Xing L et al. A multi-order derivative feature-based quality assessment model for light field image[J]. J Vis Commun Image Represent, 57, 212-217(2018).
[6] Huang H L, Zeng H Q, Hou J H et al. A spatial and geometry feature-based quality assessment model for the light field images[J]. IEEE Trans Image Process, 31, 3765-3779(2022).
[7] Min X K, Zhou J T, Zhai G T et al. A metric for light field reconstruction, compression, and display quality evaluation[J]. IEEE Trans Image Process, 29, 3790-3804(2020).
[8] Shi L K, Zhou W, Chen Z B et al. No-reference light field image quality assessment based on spatial-angular measurement[J]. IEEE Trans Circuits Syst Video Technol, 30, 4114-4128(2020).
[12] Zhou W, Shi L K, Chen Z B et al. Tensor oriented no-reference light field image quality assessment[J]. IEEE Trans Image Process, 29, 4070-4084(2020).
[13] Xiang J J, Yu M, Jiang G Y et al. Pseudo video and refocused images-based blind light field image quality assessment[J]. IEEE Trans Circuits Syst Video Technol, 31, 2575-2590(2021).
[15] Qu Q, Chen X M, Chung V et al. Light field image quality assessment with auxiliary learning based on depthwise and anglewise separable convolutions[J]. IEEE Trans Broadcast, 67, 837-850(2021).
[16] Qu Q, Chen X M, Chung Y Y et al. LFACon: Introducing anglewise attention to no-reference quality assessment in light field space[J]. IEEE Trans Vis Comput Graph, 29, 2239-2248(2023).
[17] Zhao P, Chen X M, Chung V et al. DeLFIQE: a low-complexity deep learning-based light field image quality evaluator[J]. IEEE Trans Instrum Meas, 70, 5014811(2021).
[20] Lu S Y, Ding Y M, Liu M Z et al. Multiscale feature extraction and fusion of image and text in VQA[J]. Int J Comput Intell Syst, 16, 54(2023).
[23] Shan L, An P, Meng C L et al. A no-reference image quality assessment metric by multiple characteristics of light field images[J]. IEEE Access, 7, 127217-127229(2019).
[24] Mittal A, Moorthy A K, Bovik A C. No-reference image quality assessment in the spatial domain[J]. IEEE Trans Image Process, 21, 4695-4708(2012).
[25] Li Q H, Lin W S, Fang Y M. No-reference quality assessment for multiply-distorted images in gradient domain[J]. IEEE Signal Process Lett, 23, 541-545(2016).
[26] Meng C L, An P, Huang X P et al. Full reference light field image quality evaluation based on angular-spatial characteristic[J]. IEEE Signal Process Lett, 27, 525-529(2020).
[29] Rerabek M, Ebrahimi T. New light field image dataset[C], 1-2(2016).
Get Citation
Copy Citation Text
Bin Wang, Yongqiang Bai, Zhongjie Zhu, Mei Yu, Gangyi Jiang. No-reference light field image quality assessment based on joint spatial-angular information[J]. Opto-Electronic Engineering, 2024, 51(9): 240139-1
Category: Article
Received: Jun. 14, 2024
Accepted: Aug. 18, 2024
Published Online: Dec. 12, 2024
The Author Email: