[19] Victor Namias. The fractional order Fourier transform and its application to quantum mechanics. IMA Journal of Applied Mathematics, 25(3):241-265, 1980.
[20] Haldun M Ozaktas, Billur Barshan, David Mendlovic, and Levent Onural. Convolution, filtering, and multiplexing in fractional Fourier domains and their relation to chirp and wavelet transforms. JOSA A, 11(2):547-559, 1994.
[21] Musrrat Ali, Chang Wook Ahn, and Millie Pant. An efficient lossless robust watermarking scheme by integrating redistributed invariant wavelet and fractional Fourier transforms. Multimedia Tools and Applications, 77(10):11751-11773, 2018.
[22] R Naveen Kumar, BN Jagadale, and JS Bhat. A lossless image compression algorithm using wavelets and fractional Fourier transform. SN Applied Sciences, 1(3):1-8, 2019.
[23] Di Zhang, Xiaofeng Liao, Bo Yang, and Yushu Zhang. A fast and efficient approach to color-image encryption based on compressive sensing and fractional Fourier transform. Multimedia Tools and Applications, 77(2):2191-2208, 2018.
[24] Yong Li, Zhiqun Song, and Xuejun Sha. The multi-weighted type fractional Fourier transform scheme and its application over wireless communications. EURASIP Journal on Wireless Communications and Networking, 2018(1):1-10, 2018.
[25] Lei Ni, Xinyu Da, Hang Hu, Yuan Liang, and Ruiyang Xu. Phy-aided secure communication via weighted fractional Fourier transform. Wireless Communications and Mobile Computing, 2018, 2018.
[26] Yalin Zhang, Qinyu Zhang, and Shaohua Wu. Biomedical signal detection based on fractional Fourier transform. In 2008 International Conference on Information Technology and Applications in Biomedicine, pages 349-352. IEEE, 2008.
[27] Haldun M Ozaktas, Orhan Arikan, M Alper Kutay, and Gozde Bozdagt. Digital computation of the fractional fourier transform. IEEE Transactions on signal processing, 44(9):2141-2150, 1996.
[28] Furkan Şahinuc and Aykut Koç. Fractional fourier transform meets transformer encoder. IEEE Signal Processing Letters, 29:2258-2262, 2022.
[29] Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. Faster r-cnn: Towards real-time object detection with region proposal networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(6):1137-1149, 2017.
[30] M. Everingham, L. V. Gool, Cki Williams, J. Winn, and A. Zisserman. The Pascal visual object classes (voc) challenge. International Journal of Computer Vision, 88(2):303-338, 2010.
[31] Alex Krizhevsky, Geoffrey Hinton, et al. Learning multiple layers of features from tiny images. 2009.
[32] Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 770-778, 2016.
[33] Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao. Multi-stage progressive image restoration. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 14821-14831, 2021.
[34] Abdelrahman Abdelhamed, Stephen Lin, and Michael S Brown. A high-quality denoising dataset for smartphone cameras. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 1692-1700, 2018.
[35] Kai Zhang, Wangmeng Zuo, Yunjin Chen, Deyu Meng, and Lei Zhang. Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising. IEEE transactions on image processing, 26(7):3142-3155, 2017.
[36] Chen Wei, Wenjing Wang, Wenhan Yang, and Jiaying Liu. Deep retina decomposition for low-light enhancement. arXiv preprint arXiv:1808.04560, 2018.