Acta Optica Sinica, Volume. 42, Issue 5, 0533002(2022)
Progressive Multi-Scale Feature Cascade Fusion Color Constancy Algorithm
[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. 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. 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, 14, 1393-1411(1997).
[7] Bianco S, Cusano C, Schettini R. 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. 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] [14] Hu YM, Wang BY, LinS. 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] 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).
[16] Sidorov O. Artificial color constancy via GoogLeNet with angular loss function[J]. Applied Artificial Intelligence, 34, 643-655(2020).
[17] Koščevi ć K, Subaši ć M, Lončari ć 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).
[18] Cui S, Zhang J, Gao J et al. Illuminant estimation via deep residual learning[J]. Journal of Image and Graphics, 24, 2111-2125(2019).
[19] Lou Z Y, Gevers T, Hu N H et al. Color constancy by deep learning. [C]∥Proceedings of the British Machine Vision Conference 2015, September 7-10, Swansea, UK. London: British Machine Vision Association, 76(2015).
[20] Shi W, Loy C C, Tang X O. 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).
[21] Buchsbaum G. A spatial processor model for object colour perception[J]. Journal of the Franklin Institute, 310, 1-26(1980).
[22] Yu H L, Chen K, Wang K Q et al. Cascading convolutional color constancy[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 34, 12725-12732(2020).
[23] Shi L. -09)[2020-11-15]. https: ∥www2.cs.sfu.ca/~colour/data/(2014).
[24] Cheng D, Prasad D K, Brown M S. 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).
[25] Brainard D H, Wandell B A. Analysis of the retinex theory of color vision[J]. Journal of the Optical Society of America A, 3, 1651-1661(1986).
[26] Finlayson G D, Engineering Systems. Scottsdale, Arizona,. USA, November, 9-12, 2004(2004).
[27] 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).
[28] 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).
[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] Hernandez-Juarez D, 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).
Get Citation
Copy Citation Text
Zepeng Yang, Kai Xie, Tong Li. Progressive Multi-Scale Feature Cascade Fusion Color Constancy Algorithm[J]. Acta Optica Sinica, 2022, 42(5): 0533002
Category: Vision, Color, and Visual Optics
Received: Aug. 17, 2021
Accepted: Sep. 23, 2021
Published Online: Apr. 17, 2022
The Author Email: Xie Kai (2596898130@qq.com)