光学学报, 2018, 38 (2): 0233001, 网络出版: 2018-08-30   

对数域中基于实例学习的光照估计 下载: 994次

Illumination Estimation Based on Exemplar Learning in Logarithm Domain
作者单位
合肥工业大学计算机与信息学院, 安徽 合肥 230009
引用该论文

崔帅, 张骏, 高隽. 对数域中基于实例学习的光照估计[J]. 光学学报, 2018, 38(2): 0233001.

Shuai Cui, Jun Zhang, Jun Gao. Illumination Estimation Based on Exemplar Learning in Logarithm Domain[J]. Acta Optica Sinica, 2018, 38(2): 0233001.

参考文献

[1] Krantz JH. Experiencing sensation and perception[M]. New York: Pearson Education, 2012.

    Krantz JH. Experiencing sensation and perception[M]. New York: Pearson Education, 2012.

[2] Qian YL, ChenK, Kamarainen JK,et al. Deep structured-output regression learning for computational color constancy[EB/OL]. [2017-06-21]. http: ∥arxiv.org/abs/1607.03856v1.2016. 9.

    Qian YL, ChenK, Kamarainen JK,et al. Deep structured-output regression learning for computational color constancy[EB/OL]. [2017-06-21]. http: ∥arxiv.org/abs/1607.03856v1.2016. 9.

[3] 项金蓉, 任建伟, 刘洪兴, 等. 基于光谱可调积分球光源的多光谱相机颜色校正研究[J]. 激光与光电子学进展, 2015, 52(1): 013301.

    项金蓉, 任建伟, 刘洪兴, 等. 基于光谱可调积分球光源的多光谱相机颜色校正研究[J]. 激光与光电子学进展, 2015, 52(1): 013301.

    Xiang J R, Ren J W, Liu H X, et al. Research on color correction of multi-spectral camera based on spectral tunable integrating sphere[J]. Laser & Optoelectronics Progress, 2015, 52(1): 013301.

    Xiang J R, Ren J W, Liu H X, et al. Research on color correction of multi-spectral camera based on spectral tunable integrating sphere[J]. Laser & Optoelectronics Progress, 2015, 52(1): 013301.

[4] Liu QS, BaiJ, Yu FH. An adaptive weight value-based multi-scale Retinex algorithm for color image enhancement[C]. 5th International Conference on Computer Sciences and Automation Engineering, 2015: 609- 612.

    Liu QS, BaiJ, Yu FH. An adaptive weight value-based multi-scale Retinex algorithm for color image enhancement[C]. 5th International Conference on Computer Sciences and Automation Engineering, 2015: 609- 612.

[5] 张林, 冯华君, 徐之海, 等. 基于物体颜色信息的图像紫边矫正方法[J]. 光学学报, 2016, 36(12): 1233001.

    张林, 冯华君, 徐之海, 等. 基于物体颜色信息的图像紫边矫正方法[J]. 光学学报, 2016, 36(12): 1233001.

    Zhang L, Feng H J, Xu Z H, et al. Purple fringing correction method based on color information of object[J]. Acta Optica Sinica, 2016, 36(12): 1233001.

    Zhang L, Feng H J, Xu Z H, et al. Purple fringing correction method based on color information of object[J]. Acta Optica Sinica, 2016, 36(12): 1233001.

[6] 李双双, 赵高鹏, 王建宇. 基于特征融合和尺度自适应的干扰感知目标跟踪[J]. 光学学报, 2017, 37(5): 0515005.

    李双双, 赵高鹏, 王建宇. 基于特征融合和尺度自适应的干扰感知目标跟踪[J]. 光学学报, 2017, 37(5): 0515005.

    Li S S, Zhao G P, Wang J Y. Distractor-aware object tracking based on multi-feature fusion and scale-adaption[J]. Acta Optica Sinica, 2017, 37(5): 0515005.

    Li S S, Zhao G P, Wang J Y. Distractor-aware object tracking based on multi-feature fusion and scale-adaption[J]. Acta Optica Sinica, 2017, 37(5): 0515005.

[7] Mirzaei H, Funt B. Gaussian-based hue descriptors[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(12): 2441-2450.

    Mirzaei H, Funt B. Gaussian-based hue descriptors[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(12): 2441-2450.

[8] Buchsbaum G. A spatial processor model for object colour perception[J]. Journal of the Franklin Institute, 1980, 310(1): 1-26.

    Buchsbaum G. A spatial processor model for object colour perception[J]. Journal of the Franklin Institute, 1980, 310(1): 1-26.

[9] Land E H. The Retinex theory of color vision[J]. Scientific America, 1977, 237(6): 108-128.

    Land E H. The Retinex theory of color vision[J]. Scientific America, 1977, 237(6): 108-128.

[10] Finlayson GD, TrezziE. Shades of gray and colour constancy[C]. Color and Imaging Conference, 2004: 37- 41.

    Finlayson GD, TrezziE. Shades of gray and colour constancy[C]. Color and Imaging Conference, 2004: 37- 41.

[11] van de Weijer J, Gevers T, Gijsenij A. Edge-based color constancy[J]. IEEE Transactions on Image Processing, 2007, 16(9): 2207-2214.

    van de Weijer J, Gevers T, Gijsenij A. Edge-based color constancy[J]. IEEE Transactions on Image Processing, 2007, 16(9): 2207-2214.

[12] Drew MS, Joze H R V, Finlayson G D. Specularity, the Zeta-Image, and information-theoretic illuminant estimation[C]. International Conference on Computer Vision, 2012: 411- 420.

    Drew MS, Joze H R V, Finlayson G D. Specularity, the Zeta-Image, and information-theoretic illuminant estimation[C]. International Conference on Computer Vision, 2012: 411- 420.

[13] Gijsenij A. Gevers T, van de Weijer J. Generalized Gamut Mapping using image derivative structures for color constancy[J]. International Journal of Computer Vision, 2010, 86(2/3): 127-139.

    Gijsenij A. Gevers T, van de Weijer J. Generalized Gamut Mapping using image derivative structures for color constancy[J]. International Journal of Computer Vision, 2010, 86(2/3): 127-139.

[14] Gehler PV, RotherC, BlakeA, et al. Bayesian color constancy revisited[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2008: 1- 8.

    Gehler PV, RotherC, BlakeA, et al. Bayesian color constancy revisited[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2008: 1- 8.

[15] Funt B V, Xiong W H. Estimating illumination chromaticity via support vector regression[J]. Journal of Imaging Science and Technology, 2006, 50(4): 341-348.

    Funt B V, Xiong W H. Estimating illumination chromaticity via support vector regression[J]. Journal of Imaging Science and Technology, 2006, 50(4): 341-348.

[16] Lou ZY, GeversT, Hu NH, et al. Color constancy by deep learning[C]. British Machine Vision Conference, 2015: 76.

    Lou ZY, GeversT, Hu NH, et al. Color constancy by deep learning[C]. British Machine Vision Conference, 2015: 76.

[17] BiancoS, CusanoC, SchettiniR. Color constancy using CNNs[C]. IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015: 81- 89.

    BiancoS, CusanoC, SchettiniR. Color constancy using CNNs[C]. IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015: 81- 89.

[18] Oh S W, Kim S J. Approaching the computational color constancy as a classification problem through deep learning[J]. Pattern Recognition, 2017, 61: 405-416.

    Oh S W, Kim S J. Approaching the computational color constancy as a classification problem through deep learning[J]. Pattern Recognition, 2017, 61: 405-416.

[19] Gijsenij A. Gevers T, van de Weijer J. Improving color constancy by photometric edge weighting[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(5): 918-929.

    Gijsenij A. Gevers T, van de Weijer J. Improving color constancy by photometric edge weighting[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(5): 918-929.

[20] Liu Y, Gevers T, Li X Q. Color constancy by combining low-mid-high level image cues[J]. Computer Vision and Image Understanding, 2015, 140: 1-8.

    Liu Y, Gevers T, Li X Q. Color constancy by combining low-mid-high level image cues[J]. Computer Vision and Image Understanding, 2015, 140: 1-8.

[21] Li B, Xiong W H, Hu W M, et al. Multi-Cue illumination estimation via a tree-structured group joint sparse representation[J]. International Journal of Computer Vision, 2016, 117(1): 21-47.

    Li B, Xiong W H, Hu W M, et al. Multi-Cue illumination estimation via a tree-structured group joint sparse representation[J]. International Journal of Computer Vision, 2016, 117(1): 21-47.

[22] Joze H R V, Drew M S. Exemplar-Based color constancy and multiple illumination[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014, 36(5): 860-873.

    Joze H R V, Drew M S. Exemplar-Based color constancy and multiple illumination[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014, 36(5): 860-873.

[23] Mitchell TM. Machine Learning[M]. New York: McGraw-Hill Education, 1997: 231- 233.

    Mitchell TM. Machine Learning[M]. New York: McGraw-Hill Education, 1997: 231- 233.

[24] Comaniciu D, Meer P. Mean shift: a robust approach toward feature space analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(5): 603-619.

    Comaniciu D, Meer P. Mean shift: a robust approach toward feature space analysis[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(5): 603-619.

[25] Von Kries J. Die Gesichtsempfindungen.Handbuch der physiologie des menschen[M]. Behring: Nabu Press, 2012.

    Von Kries J. Die Gesichtsempfindungen.Handbuch der physiologie des menschen[M]. Behring: Nabu Press, 2012.

[26] Barron JT. Convolutional color constancy[C]. IEEE International Conference on Computer Vision, 2015: 379- 387.

    Barron JT. Convolutional color constancy[C]. IEEE International Conference on Computer Vision, 2015: 379- 387.

[27] ShiL, FuntB. Re-processed version of the Gehler color constancy dataset of 568 images[EB/OL]. [2017-06-21].http: ∥www.cs.sfu.ca/~colour/data.

    ShiL, FuntB. Re-processed version of the Gehler color constancy dataset of 568 images[EB/OL]. [2017-06-21].http: ∥www.cs.sfu.ca/~colour/data.

[28] CiureaF, FuntB. A large image database for color constancy research[C]. Color and Imaging Conference, 2003: 160- 164.

    CiureaF, FuntB. A large image database for color constancy research[C]. Color and Imaging Conference, 2003: 160- 164.

[29] Gijsenij A, Lu R, Gevers T. Color constancy for multiple light sources[J]. IEEE Transactions on Image Processing, 2012, 21(2): 697-707.

    Gijsenij A, Lu R, Gevers T. Color constancy for multiple light sources[J]. IEEE Transactions on Image Processing, 2012, 21(2): 697-707.

[30] Finlayson G D, Drew M S, Funt B V. Color constancy: generalized diagonal transforms suffice[J]. Journal of the Optical Society of America A, 1994, 11(11): 3011-3019.

    Finlayson G D, Drew M S, Funt B V. Color constancy: generalized diagonal transforms suffice[J]. Journal of the Optical Society of America A, 1994, 11(11): 3011-3019.

崔帅, 张骏, 高隽. 对数域中基于实例学习的光照估计[J]. 光学学报, 2018, 38(2): 0233001. Shuai Cui, Jun Zhang, Jun Gao. Illumination Estimation Based on Exemplar Learning in Logarithm Domain[J]. Acta Optica Sinica, 2018, 38(2): 0233001.

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