[1] Shu Q L, Wu C S, Zhong Q X et al. Alternating minimization algorithm for hybrid regularized variational image dehazing[J]. Optik, 185, 943-956(2019).

[2] Pu H F, Huang Z Y. An overview of research on image dehazing algorithms[J]. Software Engineering, 24, 2-6(2021).

[3] Tufail Z, Khurshid K, Salman A et al. Improved dark channel prior for image defogging using RGB and YCbCr color space[J]. IEEE Access, 6, 32576-32587(2018).

[4] Zhang W D, Dong L L, Pan X P et al. Single image defogging based on multi-channel convolutional MSRCR[J]. IEEE Access, 7, 72492-72504(2019).

[5] Zhang D Y, Ju M Y, Qian W. Research status and prospect of image dehazing algorithm[J]. Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition), 40, 101-111(2020).

[6] Nnolim U A. Single image de-hazing using adaptive dynamic stochastic resonance and wavelet-based fusion[J]. Optik, 195, 163111(2019).

[7] Gonzalez R C, Woods R E. Digital image processing[J]. Prentice Hall International, 28, 484-486(2008).

[8] Kim T K, Paik J K, Kang B S. Contrast enhancement system using spatially adaptive histogram equalization with temporal filtering[J]. IEEE Transactions on Consumer Electronics, 44, 82-87(1998).

[9] Shi R X, Gao B L, Qiao Y J. Improved Retinex low-light image enhancement algorithm based on fusion strategy[J]. Computer Measurement & Control, 29, 159-164(2021).

[10] Ou J M, Hu X, Yang J X. Low-light image enhancement algorithm based on improved Retinex-net[J]. Pattern Recognition and Artificial Intelligence, 34, 77-86(2021).

[11] Zhang Z H, Lu J G. Foggy image enhancement based on wavelet transform and improved Retniex[J]. Computer Applications and Software, 38, 227-231(2021).

[12] Chen Y, Guo H G, Ai Y P. Single Image Dehazing of Multiscale Deep-Learning Based on Dual-Domain Decomposition[J]. Acta Optica Sinica, 40, 0210003(2020).

[13] He K M, Sun J, Tang X O. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 2341-2353(2011).

[14] Berman D, Treibitz T, Avidan S. Non-local image dehazing[C], 1674-1682(2016).

[15] Liu K, Li X J. De-Hazing and Enhancement Methods for Underwater and Low-Light Images[J]. Acta Optica Sinica, 40, 1910003(2020).

[16] Su C, Bi G L, Jin L X et al. Dehazing Algorithm Based on Dark-Channel Image Centroid Offset[J]. Acta Optica Sinica, 39, 0533001(2019).

[17] Yang Y, Zhang J L. Image dehazing algorithm based on haze distribution and adaptive attenuation[J]. Laser & Optoelectronics Progress, 58, 2210012(2021).

[18] Liu Y, Shang J X, Pan L et al. A unified variational model for single image dehazing[J]. IEEE Access, 7, 15722-15736(2019).

[19] Cai B L, Xu X M, Jia K et al. DehazeNet: an end-to-end system for single image haze removal[J]. IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society, 25, 5187-5198(2016).

[20] Ren W Q, Liu S, Zhang H et al. Single image dehazing via multi-scale convolutional neural networks[M]. Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science, 9906, 154-169(2016).

[21] Li B Y, Peng X L, Wang Z Y et al. AOD-net: all-in-one dehazing network[C], 4780-4788(2017).

[22] Zhang H, Patel V M. Densely connected pyramid dehazing network[C], 3194-3203(2018).

[23] Shao Y J, Li L, Ren W Q et al. Domain adaptation for image dehazing[C], 2805-2814(2020).