APA (7th ed.) Citation

Mao, H., Peng, W., Tian, Y., & Zhu, X. (2025). A Novel Low-Illumination Image Enhancement Method Based on Convolutional Neural Network with Retinex Theory. Applied Sciences (2076-3417), 15(22), 12324. https://doi.org/10.3390/app152212324

Chicago Style (17th ed.) Citation

Mao, Haixia, Wei Peng, Yan Tian, and Xiaochun Zhu. "A Novel Low-Illumination Image Enhancement Method Based on Convolutional Neural Network with Retinex Theory." Applied Sciences (2076-3417) 15, no. 22 (2025): 12324. https://doi.org/10.3390/app152212324.

MLA (9th ed.) Citation

Mao, Haixia, et al. "A Novel Low-Illumination Image Enhancement Method Based on Convolutional Neural Network with Retinex Theory." Applied Sciences (2076-3417), vol. 15, no. 22, 2025, p. 12324, https://doi.org/10.3390/app152212324.

Warning: These citations may not always be 100% accurate.