[1] Rhodes H, Agranov G, Hong C et al. CMOS imager technology shrinks and image performance. [C]//2004 IEEE Workshop on Microelectronics and Electron Devices, April 16-16, 2004, Boise, ID, USA. New York: IEEE, 7-18(2004).

[2] Foi A, Trimeche M, Katkovnik V et al. Practical Poissonian-Gaussian noise modeling and fitting for single-image raw-data[J]. IEEE Transactions on Image Processing, 17, 1737-1754(2008). http://europepmc.org/abstract/MED/18784024

[3] Chen X. Image denoising based on deep convolutional neural networks[D]. Hefei: Hefei University of Technology(2019).

[4] Zhang B Y, Allebach J P. Adaptive bilateral filter for sharpness enhancement and noise removal[J]. IEEE Transactions on Image Processing, 17, 664-678(2008).

[5] Weiss B. Fast median and bilateral filtering[J]. ACM Transactions on Graphics, 25, 519-526(2006).

[6] Buades A, Coll B, Morel J M. A review of image denoising algorithms, with a new one[J]. Multiscale Modeling & Simulation, 4, 490-530(2005).

[7] Dabov K, Foi A, Katkovnik V et al. Image denoising by sparse 3-D transform-domain collaborative filtering[J]. IEEE Transactions on Image Processing, 16, 2080-2095(2007).

[8] Burger H C, Schuler C J, with bounds[EB/OL]. -11-09)[2020-04-01], org/abs/1211, 1544(2012). https://arxiv.

[9] Long J, Shelhamer E, Darrell T. Fully convolutional networks for semantic segmentation. [C]//2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 3431-3440(2015).

[10] Zhang K, Zuo W M, Chen Y J et al. Beyond a Gaussian denoiser: residual learning of deep CNN for image denoising[J]. IEEE Transactions on Image Processing, 26, 3142-3155(2017). http://smartsearch.nstl.gov.cn/paper_detail.html?id=81cf68cfaf02b35026f1888e88f25f10

[11] Guo S, Yan Z F, Zhang K et al. Toward convolutional blind denoising of real photographs. [C]//2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA. New York: IEEE, 1712-1722(2019).

[12] Anaya J, Barbu A. RENOIR - A dataset for real low-light image noise reduction[J]. Journal of Visual Communication and Image Representation, 51, 144-154(2018).

[13] Grossberg M D, Nayar S K. Modeling the space of camera response functions[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26, 1272-1282(2004).

[14] Malvar H S, He L W, Cutler R. High-quality linear interpolation for demosaicing of Bayer-patterned color images. [C]//2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, May 17-21, 2004, Montreal, Que., Canada. New York: IEEE, 8038960(2004).

[15] Zhou Z W. Rahman Siddiquee M M, Tajbakhsh N, et al. UNet++: a nested U-Net architecture for medical image segmentation[M]. //Stoyanov D, Taylor Z, Carneiro G, et al. Deep learning in medical image analysis and multimodal learning for clinical decision support. Lecture notes in computer science. Cham: Springer, 11045, 3-11(2018).

[16] Xu J, Li H, Liang Z T et al. -04-07)[2020-04-01], org/abs/1804, 02603(2018). https://arxiv.

[17] Tong Y B, Zhang Q S, Qi Y P. Image quality assessing by combining PSNR with SSIM[J]. Journal of Image and Graphics, 11, 1758-1763(2006).