Study on the Digital Restoration of Costumes in the Picture of Palace Ladies with Silk Fans in Tang Dynasty

[1] Liu, C. X., Cui, R. R., & Wang, Z. C. (2024). Digital virtual simulation for cultural clothing restoration: Case study of Tang Dynasty mural Diplomatic Envoys from Crown Prince Zhang Huai’s tomb. Journal of Theoretical and Applied Electronic Commerce Research, 19(2), 1358–1391. Liu C. X. Cui R. R. Wang Z. C. ( 2024 ). Digital virtual simulation for cultural clothing restoration: Case study of Tang Dynasty mural Diplomatic Envoys from Crown Prince Zhang Huai’s tomb . Journal of Theoretical and Applied Electronic Commerce Research , 19 ( 2 ), 1358 – 1391 . Search in Google Scholar

[2] Liu, K. X., Wu, H. H., Ji, Y. B., & Zhu, C. (2022). Archaeology and restoration of costumes in Tang tomb murals based on reverse engineering and human-computer interaction technology. Sustainability, 14(10). Liu K. X. Wu H. H. Ji Y. B. Zhu C. ( 2022 ). Archaeology and restoration of costumes in Tang tomb murals based on reverse engineering and human-computer interaction technology . Sustainability , 14 ( 10 ). Search in Google Scholar

[3] Shi, X., Xu, Z. C., Cui, L., Zhao, X. Q., & Zhang, W. H. (2024). ViCo: Human visual perception-based contour extraction of Chinese Tang dynasty textile patterns. Textile Research Journal, 2024. Shi X. Xu Z. C. Cui L. Zhao X. Q. Zhang W. H. ( 2024 ). ViCo: Human visual perception-based contour extraction of Chinese Tang dynasty textile patterns . Textile Research Journal , 2024 . Search in Google Scholar

[4] Wen, D. W. (2024). Analysis of human figures, artistic value and enlightenment to folk photography in Dunhuang murals. Mediterranean Archaeology & Archaeometry, 24(3), 300–313. Wen D. W. ( 2024 ). Analysis of human figures, artistic value and enlightenment to folk photography in Dunhuang murals . Mediterranean Archaeology & Archaeometry , 24 ( 3 ), 300 – 313 . Search in Google Scholar

[5] Abe, C., Kanda, N., Nakai, K., & Nonomura, T. (2024). Robust and multiresolution sparse processing particle image velocimetry for improvement in spatial resolution. Journal of Visualization. Abe C. Kanda N. Nakai K. Nonomura T. ( 2024 ). Robust and multiresolution sparse processing particle image velocimetry for improvement in spatial resolution . Journal of Visualization . Search in Google Scholar

[6] Abu-Faraj, M., Alqadi, Z., & Zubi, M. (2022). Creating color image features based on morphology image processing. Traitement du Signal, 39(3), 797–803. Abu-Faraj M. Alqadi Z. Zubi M. ( 2022 ). Creating color image features based on morphology image processing . Traitement du Signal , 39 ( 3 ), 797 – 803 . Search in Google Scholar

[7] Aghasi, A., Rai, A., & Xia, Y. S. (2024). A deep learning and image processing pipeline for object characterization in firm operations. INFORMS Journal on Computing, 36(2). Aghasi A. Rai A. Xia Y. S. ( 2024 ). A deep learning and image processing pipeline for object characterization in firm operations . INFORMS Journal on Computing , 36 ( 2 ). Search in Google Scholar

[8] Agordzo, G. K., Fang, X. W., & Li, J. (2023). Privacy in process mining: Logs conversion to images using machine learning algorithm. Journal of Intelligent & Fuzzy Systems, 45(1), 1–12. Agordzo G. K. Fang X. W. Li J. ( 2023 ). Privacy in process mining: Logs conversion to images using machine learning algorithm . Journal of Intelligent & Fuzzy Systems , 45 ( 1 ), 1 – 12 . Search in Google Scholar

[9] Ahmadinejad, M., & Moaiyeri, M. H. (2022). Energy- and quality-efficient approximate multipliers for neural network and image processing applications. IEEE Transactions on Emerging Topics in Computing, 10(2), 1105–1116. Ahmadinejad M. Moaiyeri M. H. ( 2022 ). Energy- and quality-efficient approximate multipliers for neural network and image processing applications . IEEE Transactions on Emerging Topics in Computing , 10 ( 2 ), 1105 – 1116 . Search in Google Scholar

[10] Ahmed, Y. A. E., Yue, B., Gu, Z. L., & Yang, J. Y. (2023). An overview: Big data analysis by deep learning and image processing. International Journal of Quantum Information, 21(07). Ahmed Y. A. E. Yue B. Gu Z. L. Yang J. Y. ( 2023 ). An overview: Big data analysis by deep learning and image processing . International Journal of Quantum Information , 21 ( 07 ). Search in Google Scholar

[11] Al-Battbootti, M. J. H., Goga, N., & Marin, I. (2022). Detection and analysis of oil spill using image processing. International Journal of Advanced Computer Science and Applications, 13(4), 381–387. Al-Battbootti M. J. H. Goga N. Marin I. ( 2022 ). Detection and analysis of oil spill using image processing . International Journal of Advanced Computer Science and Applications , 13 ( 4 ), 381 – 387 . Search in Google Scholar

[12] Achddou, R., Gousseau, Y., & Ladjal, S. (2023). Fully synthetic training for image restoration tasks. Computer Vision and Image Understanding, 233. Achddou R. Gousseau Y. Ladjal S. ( 2023 ). Fully synthetic training for image restoration tasks . Computer Vision and Image Understanding , 233 . Search in Google Scholar

[13] Image arithmetic operations. (2022). Intelligent Automation and Soft Computing, 32(1), 271–284. Image arithmetic operations ( 2022 ). Intelligent Automation and Soft Computing , 32 ( 1 ), 271 – 284 . Search in Google Scholar

[14] Ali, K., Quershi, A. N., Bin Arifin, A. A., Bhatti, M. S., Sohail, A., & Hassan, R. (2022). Deep image restoration model: A defense method against adversarial attacks. CMC-Computers, Materials & Continua, 71(2), 2209–2224. Ali K. Quershi A. N. Bin Arifin A. A. Bhatti M. S. Sohail A. Hassan R. ( 2022 ). Deep image restoration model: A defense method against adversarial attacks . CMC-Computers, Materials & Continua , 71 ( 2 ), 2209 – 2224 . Search in Google Scholar

[15] Antony, J. K., & Kanagalakshmi, K. (2023). T2FRF filter: An effective algorithm for the restoration of fingerprint images. International Journal of Image and Graphics, 23(1). Antony J. K. Kanagalakshmi K. ( 2023 ). T2FRF filter: An effective algorithm for the restoration of fingerprint images . International Journal of Image and Graphics , 23 ( 1 ). Search in Google Scholar

[16] Awan, H. S. A., & Mahmood, M. T. (2024). Underwater image restoration through color correction and UW-Net. Electronics, 13(1). Awan H. S. A. Mahmood M. T. ( 2024 ). Underwater image restoration through color correction and UW-Net . Electronics , 13 ( 1 ). Search in Google Scholar

[17] Belhasin, O., Romano, Y., Freedman, D., Rivlin, E., & Elad, M. (2024). Principal uncertainty quantification with spatial correlation for image restoration problems. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(5), 3321–3333. Belhasin O. Romano Y. Freedman D. Rivlin E. Elad M. ( 2024 ). Principal uncertainty quantification with spatial correlation for image restoration problems . IEEE Transactions on Pattern Analysis and Machine Intelligence , 46 ( 5 ), 3321 – 3333 . Search in Google Scholar

[18] Benchettou, O., Bentbib, A. H., & Bouhamidi, A. (2022). Tensorial total variation-based image and video restoration with optimized projection methods. Optimization Methods & Software. Benchettou O. Bentbib A. H. Bouhamidi A. ( 2022 ). Tensorial total variation-based image and video restoration with optimized projection methods . Optimization Methods & Software . Search in Google Scholar

[19] Bentbib, A. H., Khouia, A., & Sadok, H. (2022). Color image and video restoration using tensor CP decomposition. BIT Numerical Mathematics, 62(4), 1257–1278. Bentbib A. H. Khouia A. Sadok H. ( 2022 ). Color image and video restoration using tensor CP decomposition . BIT Numerical Mathematics , 62 ( 4 ), 1257 – 1278 . Search in Google Scholar

[20] Cai, J. F., Choi, J. K., Li, J. Y., & Yin, G. J. (2024). Restoration guarantee of image inpainting via low-rank patch matrix completion. SIAM Journal on Imaging Sciences, 17(3), 1879–1908. Cai J. F. Choi J. K. Li J. Y. Yin G. J. ( 2024 ). Restoration guarantee of image inpainting via low-rank patch matrix completion . SIAM Journal on Imaging Sciences , 17 ( 3 ), 1879 – 1908 . Search in Google Scholar

[21] Chahi, A., Kas, M., Kajo, I., & Ruichek, Y. (2024). MFGAN: Towards a generic multi-kernel filter-based adversarial generator for image restoration. International Journal of Machine Learning and Cybernetics, 15(3), 1113–1136. Chahi A. Kas M. Kajo I. Ruichek Y. ( 2024 ). MFGAN: Towards a generic multi-kernel filter-based adversarial generator for image restoration . International Journal of Machine Learning and Cybernetics , 15 ( 3 ), 1113 – 1136 . Search in Google Scholar

[22] Chang, M., Feng, H. J., Xu, Z. H., & Li, Q. (2022). Low-light image restoration with short- and long-exposure raw pairs. IEEE Transactions on Multimedia, 24, 702–714. Chang M. Feng H. J. Xu Z. H. Li Q. ( 2022 ). Low-light image restoration with short- and long-exposure raw pairs . IEEE Transactions on Multimedia , 24 , 702 – 714 . Search in Google Scholar

[23] Chen, J., Yang, Z. F., Chan, T. N., Li, H., Hou, J. H., & Chau, L. P. (2022). Attention-guided progressive neural texture fusion for high dynamic range image restoration. IEEE Transactions on Image Processing, 31, 2661–2672. Chen J. Yang Z. F. Chan T. N. Li H. Hou J. H. Chau L. P. ( 2022 ). Attention-guided progressive neural texture fusion for high dynamic range image restoration . IEEE Transactions on Image Processing , 31 , 2661 – 2672 . Search in Google Scholar

[24] Chen, J. Q., Zhang, H. D., Wang, Z. K., Wu, J. H., Luo, T., Wang, H. B., & Long, T. (2022). An image restoration and detection method for picking robot based on convolutional auto-encoder. Computers and Electronics in Agriculture, 196. Chen J. Q. Zhang H. D. Wang Z. K. Wu J. H. Luo T. Wang H. B. Long T. ( 2022 ). An image restoration and detection method for picking robot based on convolutional auto-encoder . Computers and Electronics in Agriculture , 196 . Search in Google Scholar

[25] Chen, J. Y., Zuo, W. T., & Zhan, Y. W. (2022). Image restoration in the presence of impulse noise by adaptive equidistant median filter. Multimedia Tools and Applications, 81(15), 20407–20423. Chen J. Y. Zuo W. T. Zhan Y. W. ( 2022 ). Image restoration in the presence of impulse noise by adaptive equidistant median filter . Multimedia Tools and Applications , 81 ( 15 ), 20407 – 20423 . Search in Google Scholar

[26] Chen, Q., Zheng, B. L., Yan, C. G., Zhu, Z. J., Wang, T. Y., Slabaugh, G., & Yuan, S. X. (2024). GoLDFormer: A global-local deformable window transformer for efficient image restoration. Journal of Visual Communication and Image Representation, 100. Chen Q. Zheng B. L. Yan C. G. Zhu Z. J. Wang T. Y. Slabaugh G. Yuan S. X. ( 2024 ). GoLDFormer: A global-local deformable window transformer for efficient image restoration . Journal of Visual Communication and Image Representation , 100 . Search in Google Scholar

[27] Chen, S. Q., Zhou, J. W., Li, M. H., Chen, Y. T., & Jiang, T. T. (2023). Mobile image restoration via prior quantization. Pattern Recognition Letters, 174, 64–70. Chen S. Q. Zhou J. W. Li M. H. Chen Y. T. Jiang T. T. ( 2023 ). Mobile image restoration via prior quantization . Pattern Recognition Letters , 174 , 64 – 70 . Search in Google Scholar

[28] Chen, Y. R., Zhang, H., Wang, Y. N., Yang, Y. M., & Wu, J. (2024). Flex-DLD: Deep low-rank decomposition model with flexible priors for hyperspectral image denoising and restoration. IEEE Transactions on Image Processing, 33, 1211–1226. Chen Y. R. Zhang H. Wang Y. N. Yang Y. M. Wu J. ( 2024 ). Flex-DLD: Deep low-rank decomposition model with flexible priors for hyperspectral image denoising and restoration . IEEE Transactions on Image Processing , 33 , 1211 – 1226 . Search in Google Scholar

[29] Cheng, Y. S., Shao, M. W., Wan, Y. C., Liu, Y. X., Liu, H., & Meng, D. Y. (2023). Deep fuzzy clustering transformer: Learning the general property of corruptions for degradation-agnostic multitask image restoration. IEEE Transactions on Fuzzy Systems, 31(12), 4501–4515. Cheng Y. S. Shao M. W. Wan Y. C. Liu Y. X. Liu H. Meng D. Y. ( 2023 ). Deep fuzzy clustering transformer: Learning the general property of corruptions for degradation-agnostic multitask image restoration . IEEE Transactions on Fuzzy Systems , 31 ( 12 ), 4501 – 4515 . Search in Google Scholar

[30] Cheng, Y. S., Shao, M. W., Wan, Y. C., & Wang, C. (2024). RDM-IR: Task-adaptive deep unfolding network for all-in-one image restoration. Knowledge-Based Systems, 304. Cheng Y. S. Shao M. W. Wan Y. C. Wang C. ( 2024 ). RDM-IR: Task-adaptive deep unfolding network for all-in-one image restoration . Knowledge-Based Systems , 304 . Search in Google Scholar