Color Constancy with Multi-Channel Confidence-Weighted Method

Zepeng Yang; Kai Xie; Tong Li; Mengyao Yang; Bin Yang

doi:10.3788/AOS202141.1133002

[1] Wu L X, Xu M, Zhu G B et al. Appearance features in encoding color space for visual surveillance[J]. Neurocomputing, 308, 21-30(2018).

[2] Lu Z, Jiang X D, Kot A et al. Color space construction by optimizing luminance and chrominance components for face recognition[J]. Pattern Recognition, 83, 456-468(2018).

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

[5] Finlayson G, Hordley S. Selection for gamut mapping colour constancy[J]. Image and Vision Computing, 17, 597-604(1999).

[6] Brainard D H, Freeman W T. Bayesian color constancy[J]. Journal of the Optical Society of America: A, Optics, Image Science, and Vision, 14, 1393-1411(1997).

[7] Bianco S, Cusano C, Schettini R et al. Color constancy using CNNs[C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 7-12, 2015, Boston, MA, USA., 81-89(2015).

[8] Qiu J Q, Xu H S, Ye Z N et al. Color constancy by reweighting image feature maps[J]. IEEE Transactions on Image Processing, 29, 5711-5721(2020).

[10] Afifi M, Brown M. What else can fool deep learning? Addressing color constancy errors on deep neural network performance[C]∥2019 IEEE/CVF International Conference on Computer Vision (ICCV), October 27-November 2, 2019, Seoul, Korea (South)., 243-252(2019).

[11] Laakom F, Raitoharju J, Iosifidis A et al. Color constancy convolutional autoencoder[C]∥2019 IEEE Symposium Series on Computational Intelligence (SSCI), December 6-9, 2019, Xiamen, China., 1085-1090(2019).

[12] Das P, Baslamisli A S, Liu Y et al. -12-07)[2020-11-20]. https:∥arxiv., org/abs/1812, 03085(2018).

[13] Sidorov O. Conditional GANs for multi-, 1748-1758(2019).

[14] Hu YM, Wang BY, LinS, et al.FC4: fully convolutional color constancy with confidence-weighted pooling[C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE Press, 2017: 330- 339.

[15] Ma R Q, Liao N F. Influence of illuminant chromaticity on color constancy under RGB-LED light source[J]. Acta Optica Sinica, 39, 0933001(2019).

[16] Wang G L, Tian J D, Li P Y et al. Image color correction based on double transmission underwater imaging model[J]. Acta Optica Sinica, 39, 0901002(2019).

[17] Li X Y, Yang H J, Yan Z et al. Image background blurring algorithm based on color constancy[J]. Laser & Optoelectronics Progress, 57, 081001(2020).

[18] Zhang W, Guo J C. Low-illumination underwater image enhancement based on white balance and relative total variation[J]. Laser & Optoelectronics Progress, 57, 121016(2020).

[19] Sidorov O. Artificial color constancy via GoogLeNet with angular loss function[J]. Applied Artificial Intelligence, 34, 643-655(2020).

[20] Koš evi K, Subaši M et al. Lon ari S ,. Attention-based convolutional neural network for computer vision color constancy[C]∥2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA), September 23-25, 2019, Dubrovnik, Croatia., 372-377(2019).

[21] Cui S, Zhang J, Gao J et al. Illuminant estimation via deep residual learning[J]. Journal of Image and Graphics, 24, 2111-2125(2019).

[22] Lou Z Y, Gevers T, Hu N H et al. Color constancy by deep learning[C]∥Procedings of the British Machine Vision Conference 2015, September 7-10, 2015, Swansea, UK., 76, 12.

[23] Shi W, Loy C C, Tang X O et al. Deep specialized network for illuminant estimation[M]. ∥Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science. Cham: Springer, 9908, 371-387(2016).

[24] Shi L. -9)[2020-11-15]. http:∥www.cs.sfu.ca/~-color/data/., 6(2014).

[25] Cheng D L, Prasad D K, Brown M S et al. Illuminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution[J]. Journal of the Optical Society of America A, 31, 1049-1058(2014).

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

[27] Brainard D H, Wandell B A. Analysis of the retinex theory of color vision[J]. Journal of the Optical Society of America: A, Optics and Image Science, 3, 1651-1661(1986).

[28] Finlayson G D, Trezzi E. Shades of gray and color constancy. [C]∥Color and Imaging Conference, 12th Color and Imaging Conference Final Program and Proceedings, November 9, 2004, Scottsdale, Arizona, USA. New York: Society for Imaging Science and Technology, 47-52(2004).

[29] Barnard K. Improvements to gamut mapping colour constancy algorithms[M]. ∥Computer vision-ECCV 2000. Lecture notes in computer science. Heidelberg: Springer, 1842, 390-403(2000).

[30] Barron J T. Convolutional color constancy[C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile., 379-387(2015).

[31] Juarez D H, Parisot S, Busam B et al. A multi-hypothesis approach to color constancy[C]∥2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 13-19, 2020, Seattle, WA, USA., 2267-2277(2020).

[32] Barnard K, Martin L, Coath A et al. A comparison of computational color constancy algorithms. II. experiments with image data[J]. IEEE Transactions on Image Processing, 11, 985-996(2002).

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