Spectroscopy and Spectral Analysis, Volume. 45, Issue 7, 2008(2025)
Universal High Fidelity Spectral Image Compression Based on Color Perception
[1] [1] Hernndez-Cabronero M, Kiely A B, Klimesh M, et al. IEEE Geoscience and Remote Sensing Magazine, 2021, 9(4): 102.
[2] [2] Prakash A, Moran N, Garber S, et al. Semantic Perceptual Image Compression Using Deep Convolution Networks. 2017 Data Compression Conference (DCC), 2017, 250.
[3] [3] Kong F, Hu K, Li Y, et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 2745.
[4] [4] Guo Y, Tao Y, Chong Y, et al. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1.
[5] [5] Ma L, Qiu X, Cong Y. MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis, 2015, 9811: 98110C.
[6] [6] Wu G, Liu Z, Yang S, et al. Journal of Spectroscopy,2014, 2014(1): 595602.
[7] [7] Lv C, Li C, Xiao K, et al. Optics Express, 2022, 30(22): 40144.
[8] [8] Liang W, Hao W, Jin H, et al. Spectroscopy Letters, 2021, 54(5): 395.
[9] [9] Le Moan S, Blahov J, Urban P, et al. Journal of Imaging Science and Technology, 2016, 60(6): 060501.
[10] [10] Zhang X, Wang Q, Wang Y, et al. Optics Letters, 2012, 37(24): 5097.
[11] [11] Shinoda K, Murakami Y, Yamaguchi M, et al. Journal of Electronic Imaging, 2011, 20(2): 023003.
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LIANG Wei, CAI Lei, HAO Wen, JIN Hai-yan, HOU Yu. Universal High Fidelity Spectral Image Compression Based on Color Perception[J]. Spectroscopy and Spectral Analysis, 2025, 45(7): 2008
Received: Jun. 28, 2024
Accepted: Jul. 24, 2025
Published Online: Jul. 24, 2025
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