[1] S ZHANG, F HE, W REN. Joint learning of image detail and transmission map for single image dehazing. The Visual Computer, 36, 305-316(2020).

[2] W REN, J PAN, H ZHANG. Single image dehazing via multi-scale convolutional neural networks with holistic edges. International Journal of Computer Vision, 128, 240-259(2020).

[3] M JU, D ZHANG, X WANG. Single image dehazing via an improved atmospheric scattering model. The Visual Computer, 33, 1613-1625(2017).

[4] K HE, J SUN, X TANG. Single image haze removal using dark channel prior. IEEE transactions on pattern analysis and machine intelligence, 33, 2341-2353(2010).

[5] D BERMAN, S AVIDAN. Non-local image dehazing, 1674-1682(2016).

[6] B CAI, X XU, K JIA. Dehazenet： An end-to-end system for single image haze removal. IEEE Transactions on Image Processing, 25, 5187-5198(2016).

[7] H ZHANG, V M PATEL. Densely connected pyramid dehazing network, 3194-3203(2018).

[8] Y GAO, Q LI, J LI. Single image dehazing via a dual-fusion method. Image and Vision Computing, 94, 103868(2020).

[9] I YOON, S JEONG, J JEONG. Wavelength-adaptive dehazing using histogram merging-based classification for UAV images. Sensor, 15, 6633-6651(2015).

[10] Shibai YIN, Yibin WANG, Zhen DENG. Infrared image segmentation based on graph cut of fast recursive fuzzy 2-partition entropy. Optics and Precision Engineering, 24, 668-680(2016).

[11] S B YIN, Y B WANG, Y H YANG. A novel image-dehazing network with a parallel attention block. Pattern Recognition, 102, 107255(2020).

[12] O VEKSLER. Efficient graph cut optimization for full CRFs with quantized edges. IEEE transactions on pattern analysis and machine intelligence, 42, 1005-1012(2019).

[13] D BI, S MA. Single image dehazing method based on scene depth constraint. Acta Electronica Sinica, 43, 500-504(2015).

[14] B LI, W REN, D FU. Benchmarking single-image dehazing and beyond. IEEE Transactions on Image Processing, 28, 492-505(2018).