Low-Illumination Image Enhancement Method Based on Attention Mechanism and Retinex

Huixian Huang; Fanhao Chen

doi:10.3788/LOP57.201004

[1] Ren Y F[J]. Application of histogram equalization in image processing Science and Technology Information, 2007, 37-38.

[2] Pan Q, Yin J. An image enhancement algorithm based on weighted constraint decision[J]. Control Engineering of China, 25, 2017-2021(2018).

[3] 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).

[4] Mei Y J, Ning Y, Chen J J. Block-adjusted image enhancement algorithm combining dark channel prior with MSRCR[J]. Acta Photonica Sinica, 48, 0710005(2019).

[5] Li L, Wang H G, Liu X. Underwater image enhancement based on improved dark channel prior and color correction[J]. Acta Optica Sinica, 37, 1211003(2017).

[6] Wang X, Zhu X C, Ning C et al. Combination of dark-channel prior with sparse representation for underwater image restoration[J]. Journal of Electronics & Information Technology, 40, 264-271(2018).

[7] Sima Z L, Hu F. Low-light image enhancement method based on simulating multi-exposure fusion[J]. Journal of Computer Applications, 39, 1804-1809(2019).

[8] Zotin A. Fast algorithm of image enhancement based on multi-scale Retinex[J]. Procedia Computer Science, 131, 6-14(2018).

[9] Zhang H Y, Hu W B. Spatio-temporal context tracking algorithm based on Retinex-enhanced gray information and color information[J]. Journal of Computer-Aided Design & Computer Graphics, 29, 2323-2329(2017).

[10] Lore K G, Akintayo A, Sarkar S. LLNet: a deep autoencoder approach to natural low-light image enhancement[J]. Pattern Recognition, 61, 650-662(2017).

[11] Wei C, Wang W J, Yang W H et al. -08-01) https:∥www.researchgate.net/publication/327033239_Deep_Retinex_Decomposition_for_Low-Light_[2020-01-15]. Enhancement.(2018).

[12] LeCun Y, Boser B E, Denker J S et al. Backpropagation applied to handwritten zip code recognition[J]. Neural Computation, 1, 541-551(1989).

[13] Shen X, Cheng X H, Wang X Z. Infrared dim-small object detection algorithm based on adaptive scale local contrast enhancement combined with visual attention mechanism[J]. Infrared Technology, 41, 764-771(2019).

[14] Wan C, You Q J, Sun J et al. Retinal image quality assessment based on FA-Net[J]. Chinese Journal of Experimental Ophthalmology, 37, 608-612(2019).

[15] Stentiford F W M. Attention-based similarity measure with application to content-based information retrieval[J]. Proceedings of SPIE, 5021, 221-232(2003).

[16] Dabov K, Foi A, Katkovnik V et al. Image denoising with block-matching and 3D filtering[J]. Proceedings of SPIE, 6064, 606414(2006).

[17] Ronneberger O, Fischer P, Brox T. U-net: convolutional networks for biomedical image segmentation[M]. ∥Navab N, Hornegger J, Wells W, et al. Medical image computing and computer- MICCAI 2015. Lecture notes in computer science. Cham: Springer, 9351, 234-241(2015).

[18] Dony R D, Wesolkowski S. Edge detection on color images using RGB vector angles. [C]∥1999 IEEE Canadian Conference on Electrical and Computer Engineering, May 9-12, 1999, Edmonton, Alberta, Canada. New York: IEEE, 6505379(1999).

[19] Ma K D, Zeng K, Wang Z. Perceptual quality assessment for multi-exposure image fusion[J]. IEEE Transactions on Image Processing, 24, 3345-3356(2015).

[20] Guo X J, Li Y, Ling H B. LIME: low-light image enhancement via illumination map estimation[J]. IEEE Transactions on Image Processing, 26, 982-993(2017).

[21] Lee C, Lee C, Kim C S. Contrast enhancement based on layered difference representation. [C]∥2012 19th IEEE International Conference on Image Processing, September 30-October 3, 2012, Orlando, FL, USA. New York: IEEE, 965-968(2012).

[22] Wang S H, Zheng J, Hu H M et al. Naturalness preserved enhancement algorithm for non-uniform illumination images[J]. IEEE Transactions on Image Processing, 22, 3538-3548(2013).