Otwarty dostęp

Research on virtual color restoration algorithm for printmaking art images based on semantic segmentation and convolutional neural network

  
09 paź 2023

Zacytuj
Pobierz okładkę

Bossmann, K., Covarrubias, J., Yapa, A. S., Ingle, B., & Scuilla, J. (2020). An optimized nontoxic electrolytic etching procedure for fine art printmaking. Leonardo, 1-10. Search in Google Scholar

Zhou, J. (2018). Printmaking image analysis based on digital technology. IPPTA: Quarterly Journal of Indian Pulp and Paper Technical Association, 30(7), 823-830. Search in Google Scholar

Morris, J. E., Lummis, G. W., Mckinnon, D. H., & Heyworth, J. (2017). Measuring preservice teacher self-efficacy in music and visual arts: validation of an amended science teacher efficacy belief instrument. Teaching & Teacher Education, 64, 1-11. Search in Google Scholar

Mk, A., Mjgbb, C., Cbw, D., Jje, A., & Nmwa, E. (2020). Third-party signals and sales to expert-agent buyers: quality indicators in the contemporary visual arts market - sciencedirect. International Journal of Research in Marketing, 37( 3), 587-601. Search in Google Scholar

Gao, Z. (2017). Research on the application of traditional art style in modern art design. Boletin Tecnico/Technical Bulletin, 55(11), 151-156. Search in Google Scholar

Jueqin, Q., Haisong, Xu, Nan, Z., & Ye, et al. (2018). Image quality degradation of object-color metamer mismatching in digital camera color reproduction. Applied optics, 2851-2860 Search in Google Scholar

Lozhkin, L. D., Osipov, O. V., & Voronoy, A. A. (2017). Color correction in the trichromatic color reproduction devices. Computer Optics, 41(1), 88-94. Search in Google Scholar

Han, Z., Li, L., Jin, W., Wang, X., & Wang, H. (2020). Convolutional neural network training for rgbn camera color restoration using generated image pairs. IEEE Photonics Journal, 12(5), 1-15. Search in Google Scholar

Nikonorov, A. V., Petrov, M. V., Bibikov, S. A., Kutikova, V. V., & Kazanskiy, N. L. (2017). Image restoration in diffractive optical systems using deep learning and deconvolution. Computer Optics, 41(6), 875-887. Search in Google Scholar

Deledalle, C. A., Parameswaran, S., & Nguyen, T. Q. (2018). Image restoration with generalized gaussian mixture model patch priors. Siam Journal on Imaging ences, 11(4), 2568-2609. Search in Google Scholar

Xu, G., & Yan, C. (2017). Study on the fast image restoration algorithm with structure priority. Boletin Tecnico/Technical Bulletin, 55(20), 98-106. Search in Google Scholar

Li, R., Zhan, W., & Hao, Z. (2017). An improved constrained least-squares filter image restoration algorithm. Boletin Tecnico/technical Bulletin, 55(1), 236-243. Search in Google Scholar

Shen, H., Peng, L., Yue, L., Yuan, Q., & Zhang, L. (2017). Adaptive norm selection for regularized image restoration and super-resolution. IEEE Transactions on Cybernetics, 1388-1399. Search in Google Scholar

Choi, W., Park, H. S., & Kyung, C. M. (2020). Color reproduction pipeline for rgbw color filter array sensor. Optics express, 28(10), 15678-15690. Search in Google Scholar

Cao, J., Leng, H., Cohen-Or, D., Lischinski, D., & Li, Y. (2021). Rgb × d: learning depth-weighted rgb patches for rgb-d indoor semantic segmentation. Neurocomputing. Search in Google Scholar

Valenzuela, A., Arellano, C., & Tapia, J. E. (2020). Towards an efficient segmentation algorithm for near-infrared eyes images. IEEE Access, 8, 171598-171607. Search in Google Scholar

Wang, W., Li, Q., Xiao, C., Zhang, D., & Wang, L. (2021). An improved boundary-aware u-net for ore image semantic segmentation. Sensors, 21(8), 2615. Search in Google Scholar

Wang, H., Wang, Y., Zhang, Q., Xiang, S., & Pan, C. (2017). Gated convolutional neural network for semantic segmentation in high-resolution images. Remote Sensing, 9(5). Search in Google Scholar

Miao, J., Sun, K., Liao, X., Leng, L., & Chu, J. (2020). Human segmentation based on compressed deep convolutional neural network. IEEE Access, 8, 167585-167595. Search in Google Scholar

Lin, D., Zhang, R., Ji, Y., Li, P., & Huang, H. (2018). Scn: switchable context network for semantic segmentation of rgb-d images. IEEE Transactions on Cybernetics, 1-12. Search in Google Scholar

Lee, J., & Nam, J. (2017). Multi-level and multi-scale feature aggregation using pre-trained convolutional neural networks for music auto-tagging. IEEE Signal Processing Letters, 24(8), 1208-1212. Search in Google Scholar

Hua, W., Hou, M., Qiao, Y., Zhao, X., & Li, S. (2021). Similarity index based approach for identifying similar grotto statues to support virtual restoration. Remote Sensing, 13(6), 1201. Search in Google Scholar

Język:
Angielski
Częstotliwość wydawania:
1 razy w roku
Dziedziny czasopisma:
Nauki biologiczne, Nauki biologiczne, inne, Matematyka, Matematyka stosowana, Matematyka ogólna, Fizyka, Fizyka, inne