Acta Optica Sinica, Volume. 41, Issue 16, 1610002(2021)

Light-Field Image Quality Assessment Based on Multiple Visual Feature Aggregation

Zhuocheng Zou, Jun Qiu, and Chang Liu*
Author Affiliations
  • Institute of Applied Mathematics, Beijing Information Science & Technology University, Beijing 100101, China
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    References(35)

    [1] Wu G C, Masia B, Jarabo A et al. Light field image processing: an overview[J]. IEEE Journal of Selected Topics in Signal Processing, 11, 926-954(2017).

    [2] Wang Y Q, Yang J G, Guo Y L et al. Selective light field refocusing for camera arrays using bokeh rendering and superresolution[J]. IEEE Signal Processing Letters, 26, 204-208(2019).

    [3] Fang L, Dai Q H. Computational light field imaging[J]. Acta Optica Sinica, 40, 0111001(2020).

    [4] Masia B, Wetzstein G, Didyk P et al. A survey on computational displays: pushing the boundaries of optics, computation, and perception[J]. Computers & Graphics, 37, 1012-1038(2013).

    [5] Narain R, Albert R A, Bulbul A et al. Optimal presentation of imagery with focus cues on multi-plane displays[J]. ACM Transactions on Graphics, 34, 1-12(2015).

    [6] Maimone A, Wetzstein G, Hirsch M et al. Focus 3D: compressive accommodation display[J]. ACM Transactions on Graphics, 32, 1-13(2013).

    [7] Levoy M, Hanrahan P. Light field rendering[C]∥Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques-SIGGRAPH’96, August 1, 1996, New York, NY, USA., 31-42(1996).

    [8] Chang C C, Lin C J. Libsvm: a library for support vector machines[J]. ACM Transactions on Intelligent Systems and Technology, 2, 1-27(2011).

    [9] Paudyal P, Battisti F, Sjöström M et al. Towards the perceptual quality evaluation of compressed light field images[J]. IEEE Transactions on Broadcasting, 63, 507-522(2017).

    [10] Adhikarla V K, Vinkler M, Sumin D et al. Towards a quality metric for dense light fields[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA., 3720-3729(2017).

    [11] Shi L K, Zhao S Y, Zhou W et al. Perceptual evaluation of light field image[C]∥2018 25th IEEE International Conference on Image Processing (ICIP), October 7-10, 2018, Athens, Greece., 41-45(2018).

    [12] [12] ViolaI, EbrahimiT. VALID: visual quality assessment for light field images dataset[C]∥2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX), May 29-June 1, 2018, Cagliari, Italy. New York: IEEE Press, 2018.

    [13] Amirpour H. Pinheiro A M G, Pereira M, et al. Reliability of the most common objective metrics for light field quality assessment[C]∥ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 12-17, 2019, Brighton, UK., 2402-2406(2019).

    [14] Tian Y, Zeng H Q, Xing L et al. A multi-order derivative feature-based quality assessment model for light field image[J]. Journal of Visual Communication and Image Representation, 57, 212-217(2018).

    [15] Fang Y, Wei K, Hou J et al. Light filed image quality assessment by local and global features of epipolar plane image[C]∥2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM), September 13-16, 2018, Xi’an, China.(2018).

    [16] Min X K, Zhou J T, Zhai G T et al. A metric for light field reconstruction, compression, and display quality evaluation[J]. IEEE Transactions on Image Processing, 29, 3790-3804(2020).

    [17] Paudyal P, Battisti F, Carli M. Reduced reference quality assessment of light field images[J]. IEEE Transactions on Broadcasting, 65, 152-165(2019).

    [18] Wang Z, Bovik A C, Sheikh H R et al. Image quality assessment: from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 13, 600-612(2004).

    [19] Luo Z Y, Zhou W, Shi L K et al. No-reference light field image quality assessment based on micro-lens image[C]∥2019 Picture Coding Symposium (PCS), November 12-15, 2019, Ningbo, China.(2019).

    [20] 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).

    [21] Ruderman D L. The statistics of natural images[J]. Network: Computation in Neural Systems, 5, 517-548(1994).

    [22] Huang J G, Mumford D. Statistics of natural images and models[C]∥Proceedings of 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 23-25, 1999, Fort Collins, CO, USA., 541-547(1999).

    [23] Haralick R M, Shanmugam K, Dinstein I. Textural features for image classification[J]. IEEE Transactions on Systems, Man, and Cybernetics, 3, 610-621(1973).

    [24] Yu W, Xu J J, Liu Y Y et al. No-reference quality evaluation for gamut mapping images based on natural scene statistics[J]. Laser & Optoelectronics Progress, 57, 141006(2020).

    [25] Zhao S Y, Chen Z B, Yang K et al. Light field image coding with hybrid scan order[C]∥2016 Visual Communications and Image Processing (VCIP), November 27-30, 2016, Chengdu, China., 1-4(2016).

    [26] Chu L, Liu B, Xu L et al. Speckle quality evaluation based on gray level co-occurrence matrix[J]. Laser & Optoelectronics Progress, 58, 0410019(2021).

    [27] Ng R. Digital light field photography[M]. Stanford: Stanford university(2006).

    [28] Li Y, Sjöström M, Olsson R et al. Scalable coding of plenoptic images by using a sparse set and disparities[J]. IEEE Transactions on Image Processing, 25, 80-91(2016).

    [29] Sheikh H R, Sabir M F, Bovik A C. A statistical evaluation of recent full reference image quality assessment algorithms[J]. IEEE Transactions on Image Processing, 15, 3440-3451(2006).

    [30] Wang Z, Simoncelli E P, Bovik A C. Multiscale structural similarity for image quality assessment[C]∥The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003, November 9-12, 2003, Pacific Grove, CA, USA., 1398-1402(2003).

    [33] Sheikh H R, Bovik A C. Image information and visual quality[J]. IEEE Transactions on Image Processing, 15, 430-444(2006).

    [34] Chandler D M, Hemami S S. VSNR: a wavelet-based visual signal-to-noise ratio for natural images[J]. IEEE Transactions on Image Processing, 16, 2284-2298(2007).

    [35] Tian Y, Zeng H Q, Hou J H et al. Light field image quality assessment via the light field coherence[J]. IEEE Transactions on Image Processing, 29, 7945-7956(2020).

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    Zhuocheng Zou, Jun Qiu, Chang Liu. Light-Field Image Quality Assessment Based on Multiple Visual Feature Aggregation[J]. Acta Optica Sinica, 2021, 41(16): 1610002

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    Paper Information

    Category: Image Processing

    Received: Jan. 28, 2021

    Accepted: Mar. 18, 2021

    Published Online: Aug. 12, 2021

    The Author Email: Liu Chang (liuchang@bistu.edu.cn)

    DOI:10.3788/AOS202141.1610002

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