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宁波大学 信息科学与工程学院,浙江 宁波 315211
[ "程 俊(1996-),女,安徽阜阳人,硕士研究生,2020年于阜阳师范大学获得学士学位,现为宁波大学信息科学与工程学院研究生,主要从事光场图像质量评价等方面的研究。E-mail:2693293915@qq.com" ]
[ "蒋刚毅(1964-),男,浙江绍兴人,博士,教授,博士生导师,2000年于韩国Ajou大学获得博士学位,主要从事多媒体信号处理与通信、计算成像、视觉感知与编码、图像与视频质量评价等方面的研究工作。E-mail:jianggangyi@126.com" ]
收稿日期:2022-07-19,
修回日期:2022-08-15,
纸质出版日期:2023-04-25
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程俊,郁梅,蒋刚毅.结合视差补偿与3D数据处理的盲光场图像质量评价[J].光学精密工程,2023,31(08):1202-1216.
CHENG Jun,YU Mei,JIANG Gangyi.Blind light field image quality assessment combining disparity compensation with 3D data processing[J].Optics and Precision Engineering,2023,31(08):1202-1216.
程俊,郁梅,蒋刚毅.结合视差补偿与3D数据处理的盲光场图像质量评价[J].光学精密工程,2023,31(08):1202-1216. DOI: 10.37188/OPE.20233108.1202.
CHENG Jun,YU Mei,JIANG Gangyi.Blind light field image quality assessment combining disparity compensation with 3D data processing[J].Optics and Precision Engineering,2023,31(08):1202-1216. DOI: 10.37188/OPE.20233108.1202.
与传统的2D图像相比,光场图像记录了场景中光线的强度和方向信息,在多媒体技术应用领域中占据着重要的地位。但在光场图像的产生、传输等处理过程中会不可避免地引入失真,影响用户视觉体验,因而需构建有效、准确的光场图像质量评价方法对其进行评估。本文基于光场图像的伪视频和极平面图像提出了结合视差补偿与3D数据处理的盲光场图像质量评价方法。首先,采用视差补偿模块处理光场图像伪视频序列,然后对经过视差补偿后的伪视频序列进行三维离散小波变换以及三维去均值对比度归一化处理,并提取频域和空域特征。同时,在极平面图像上提取方向梯度直方图特征表征其角度信息的失真。最后,运用支持向量机建立图像质量评价指标到主观质量得分的回归模型。所提算法在公开数据库NBU-LF1.0,Win5-LID和SHU上的PLCC分别达到0.886 1,0.928 7和0.976 9,实验结果表明,与经典的二维图像质量评价方法以及先进的光场图像质量评价方法相比,本文方法与主观质量评价结果的一致性更高。
Compared with traditional 2D images, light field images (LFIs) can record the intensity and directional information of light in scenes. Accordingly, LFIs occupy an important position in multimedia technology applications. However, during the generation and transmission of LFIs, distortions are inevitably introduced that affect the user’s visual experience. Therefore, building an effective and accurate LFI quality assessment method to evaluate LFIs is necessary. Based on the two representations of LFIs, namely, pseudo-videos (PVs) and e-bipolar plane images (EPIs), a blind LFI quality assessment method that combines disparity compensation and 3D data processing is proposed. First, a disparity compensation module is used to process the PV sequences of an LFI, and then the PV sequences following disparity compensation are processed using 3D-discrete wavelet transform and 3D-mean subtracted contrast normalized. The frequency and spatial features are then extracted. In addition, the features of a histogram of oriented gradients are extracted from the EPIs to represent the distortion of the angle information of the LFI. Finally, support vector regression is used to establish a regression model from an image quality assessment index to obtain a subjective quality score. Experimental results showed that the PLCC on the public databases of NBU-LF1.0, Win5-LID, and SHU reached 0.8861, 0.9287, and 0.9769, respectively. Compared with the classical 2D and advanced LFI image quality assessment methods, the proposed method has a higher consistency in terms of subjective quality assessment results.
HUANG X P , AN P , CHEN Y L , et al . Low bitrate light field compression with geometry and content consistency [J]. IEEE Transactions on Multimedia , 2022 , 24 : 152 - 165 . doi: 10.1109/tmm.2020.3046860 http://dx.doi.org/10.1109/tmm.2020.3046860
ZHAO P , CHEN X M , CHUNG V , et al . DeLFIQE-a low-complexity deep learning-based light field image quality evaluator [J]. IEEE Transactions on Instrumentation and Measurement , 2021 , 70 : 1 - 11 . doi: 10.1109/tim.2021.3106113 http://dx.doi.org/10.1109/tim.2021.3106113
LE PENDU M , GUILLEMOT C , SMOLIC A . A Fourier disparity layer representation for light fields [J]. IEEE Transactions on Image Processing , 2019 , 28 ( 11 ): 5740 - 5753 . doi: 10.1109/tip.2019.2922099 http://dx.doi.org/10.1109/tip.2019.2922099
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 , 2019 , 26 ( 1 ): 204 - 208 . doi: 10.1109/lsp.2018.2885213 http://dx.doi.org/10.1109/lsp.2018.2885213
YUN S , JANG J , PAIK J . Geometry-aware light field angular super resolution using multiple receptive field network [C]. 2022 International Conference on Electronics, Information, and Communication (ICEIC). 69,2022 , Jeju, Korea, Republic of. IEEE , 2022 : 1 - 3 . doi: 10.1109/iceic54506.2022.9748458 http://dx.doi.org/10.1109/iceic54506.2022.9748458
PAUDYAL P , BATTISTI F , SJÖSTRÖM M , et al . Towards the perceptual quality evaluation of compressed light field images [J]. IEEE Transactions on Broadcasting , 2017 , 63 ( 3 ): 507 - 522 . doi: 10.1109/tbc.2017.2704430 http://dx.doi.org/10.1109/tbc.2017.2704430
MITTAL A , MOORTHY A K , BOVIK A C . No-reference image quality assessment in the spatial domain [J]. IEEE Transactions on Image Processing , 2012 , 21 ( 12 ): 4695 - 4708 . doi: 10.1109/tip.2012.2214050 http://dx.doi.org/10.1109/tip.2012.2214050
LI Q H , LIN W S , FANG Y M . No-reference quality assessment for multiply-distorted images in gradient domain [J]. IEEE Signal Processing Letters , 2016 , 23 ( 4 ): 541 - 545 . doi: 10.1109/lsp.2016.2537321 http://dx.doi.org/10.1109/lsp.2016.2537321
XUE W F , MOU X Q , ZHANG L , et al . Blind image quality assessment using joint statistics of gradient magnitude and Laplacian features [J]. IEEE Transactions on Image Processing , 2014 , 23 ( 11 ): 4850 - 4862 . doi: 10.1109/tip.2014.2355716 http://dx.doi.org/10.1109/tip.2014.2355716
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 , 2018 , 57 : 212 - 217 . doi: 10.1016/j.jvcir.2018.11.005 http://dx.doi.org/10.1016/j.jvcir.2018.11.005
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 , 2020 , 29 : 3790 - 3804 . doi: 10.1109/tip.2020.2966081 http://dx.doi.org/10.1109/tip.2020.2966081
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 Transactions on Image Processing , 2022 , 31 : 3765 - 3779 . doi: 10.1109/tip.2022.3175619 http://dx.doi.org/10.1109/tip.2022.3175619
SHI L K , ZHAO S Y , CHEN Z B . BELIF: blind quality evaluator of light field image with tensor structure variation index [C]. 2019 IEEE International Conference on Image Processing (ICIP). 2225,2019 , Taipei, China. IEEE , 2019 : 3781 - 3785 . doi: 10.1109/icip.2019.8803559 http://dx.doi.org/10.1109/icip.2019.8803559
SHI L K , ZHOU W , CHEN Z B , et al . No-reference light field image quality assessment based on spatial-angular measurement [J]. IEEE Transactions on Circuits and Systems for Video Technology , 2020 , 30 ( 11 ): 4114 - 4128 . doi: 10.1109/tcsvt.2019.2955011 http://dx.doi.org/10.1109/tcsvt.2019.2955011
ZHOU W , SHI L K , CHEN Z B , et al . Tensor oriented no-reference light field image quality assessment [J]. IEEE Transactions on Image Processing , 2020 , 29 : 4070 - 4084 . doi: 10.1109/tip.2020.2969777 http://dx.doi.org/10.1109/tip.2020.2969777
PAN Z Y , YU M , JIANG G Y , et al . Combining tensor slice and singular value for blind light field image quality assessment [J]. IEEE Journal of Selected Topics in Signal Processing , 2021 , 15 ( 3 ): 672 - 687 . doi: 10.1109/jstsp.2021.3056959 http://dx.doi.org/10.1109/jstsp.2021.3056959
XIANG J J , JIANG G , YU M , et al . No-reference light field image quality assessment using four-dimensional sparse transform [J]. IEEE Transactions on Multimedia , 2023 , 25 : 457 - 472 . doi: 10.1109/tmm.2021.3127398 http://dx.doi.org/10.1109/tmm.2021.3127398
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 , 2020 , 29 : 7945 - 7956 . doi: 10.1109/tip.2020.3008856 http://dx.doi.org/10.1109/tip.2020.3008856
YOUSEFI S , MANZURI SHALMANI M T , LIN J , et al . A novel motion detection method using 3D discrete wavelet transform [J]. IEEE Transactions on Circuits and Systems for Video Technology , 2019 , 29 ( 12 ): 3487 - 3500 . doi: 10.1109/tcsvt.2018.2885211 http://dx.doi.org/10.1109/tcsvt.2018.2885211
HOSAM O . Motion compensation for video codec based on disparity estimation [C]. 2012 IEEE Symposium on Computers and Communications (ISCC). 14,2012 , Cappadocia, Turkey. IEEE , 2012 : 559 - 565 . doi: 10.1109/iscc.2012.6249355 http://dx.doi.org/10.1109/iscc.2012.6249355
VISHWAKARMA A K , BHURCHANDI K M . 3D-DWT cross-band statistics and features for No-Reference Video Quality Assessment (NR-VQA) [J]. Optik , 2021 , 246 : 167774 . doi: 10.1016/j.ijleo.2021.167774 http://dx.doi.org/10.1016/j.ijleo.2021.167774
范赐恩 , 冉杰文 , 颜佳 , 等 . 颜色空间统计联合纹理特征的无参考图像质量评价 [J]. 光学 精密工程 , 2018 , 26 ( 4 ): 916 - 926 . doi: 10.3788/ope.20182604.0916 http://dx.doi.org/10.3788/ope.20182604.0916
FAN C E , RAN J W , YAN J , et al . No-reference image quality assessment using joint color space statistical and texture feature [J]. Opt. Precision Eng. , 2018 , 26 ( 4 ): 916 - 926 . (in Chinese) . doi: 10.3788/ope.20182604.0916 http://dx.doi.org/10.3788/ope.20182604.0916
马畅 , 张选德 . 基于颜色名称的彩色图像质量评价 [J]. 液晶与显示 , 2022 , 37 ( 1 ): 56 - 65 . doi: 10.37188/CJLCD.2021-0189 http://dx.doi.org/10.37188/CJLCD.2021-0189
MA CH , ZHANG X D . Color image quality assessment based on colornames [J]. Chinese Journal of Liquid Crystals and Displays , 2022 , 37 ( 1 ): 56 - 65 . (in Chinese) . doi: 10.37188/CJLCD.2021-0189 http://dx.doi.org/10.37188/CJLCD.2021-0189
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). 710,2018 , Athens, Greece. IEEE , 2018 : 41 - 45 . doi: 10.1109/icip.2018.8451077 http://dx.doi.org/10.1109/icip.2018.8451077
HUANG Z J , YU M , JIANG G Y , et al . Reconstruction Distortion Oriented Light Field Image Dataset for Visual Communication [C]. 2019 International Symposium on Networks, Computers and Communications (ISNCC). 1820,2019 , Istanbul, Turkey. IEEE , 2019 : 1 - 5 . doi: 10.1109/isncc.2019.8909170 http://dx.doi.org/10.1109/isncc.2019.8909170
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 , 2019 , 7 : 127217 - 127229 . doi: 10.1109/access.2019.2940093 http://dx.doi.org/10.1109/access.2019.2940093
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 , 2004 , 13 ( 4 ): 600 - 612 . doi: 10.1109/tip.2003.819861 http://dx.doi.org/10.1109/tip.2003.819861
ZHANG L , ZHANG L , MOU X Q , et al . FSIM: a feature similarity index for image quality assessment [J]. IEEE Transactions on Image Processing , 2011 , 20 ( 8 ): 2378 - 2386 . doi: 10.1109/tip.2011.2109730 http://dx.doi.org/10.1109/tip.2011.2109730
SHEIKH H R , BOVIK A C . Image information and visual quality [J]. IEEE Transactions on Image Processing , 2006 , 15 ( 2 ): 430 - 444 . doi: 10.1109/tip.2005.859378 http://dx.doi.org/10.1109/tip.2005.859378
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