[2] [2] JOBSON D,RAHMAN Z,WOODELL G.Properties and performance of a center/surround Retinex[J].IEEE Transactions on Image Processing,1997,6(3):451-462.

[3] [3] JOBSON D,RAHMAN Z,WOODELL G.A multiscale Retinex for bridging the gap between color images and the human observation of scenes[J].IEEE Transactions on Image Processing,1997,6(7):965-976.

[4] [4] TANAKA H,WAIZUMI Y,KASEZAWA T.Retinex-based signal enhancement for image dark regions［C］//2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA),September 12-14,2017,Kuching,Malaysia.New York:IEEE,2017:205-209.

[5] [5] GAO Y,HU H,LI B.Naturalness preserved non-uniform illumination estimation for image enhancement based on Retinex[J].IEEE Transactions on Multimedia,2018,20(2):335-344.

[6] [6] FU Q,JUNG C,XU K.Retinex-based perceptual contrast enhancement in images using luminance adaptation[J].IEEE Access,2018,6:61277-61286.

[7] [7] LI M,LIU J,YANG W,et al.Structure-revealing low-light image enhancement via robust Retinex model[J].IEEE Transactions on Image Processing,2018,27(6):2828-2841.

[9] [9] TENG L,XUE F,BAI Q.Remote sensing image enhancement via edge-preserving multiscale Retinex [J].IEEE Photonics Journal,2019,11(2):7000310.

[10] [10] LI C,TANG S,KWAN H,et al.Color correction based on CFA and enhancement based on Retinex with dense pixels for underwater images[J].IEEE Access,2020,8:155732-155741.

[11] [11] ZHUANG P,DING X.Underwater image enhancement using an edge-preserving filtering Retinex algorithm[J].Multimedia Tools and Applications,2020,79:25-26.

[14] [14] YANG J,XU Y,YUE H,et al.Low-light image enhancement based on Retinex decomposition and adaptive Gamma correction[J].IET Image Processing,2021,15(5):1189-1202.

[15] [15] WANG Y,LIU H,FU Z.Low-light image enhancement via the absorption light scattering model[J].IEEE Transactions on Image Processing,2019,28(11):5679-5690.

[17] [17] HE K M,SUN J,TANG X O.Guided image filtering[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2013,35(6):1397-1409.

[18] [18] YANG M X,TANG G J,LIU X H,et al.Low-light image enhancement based on Retinex theory and dual-tree complex wavelet transform[J].Optoelectronics Letters,2018,14(6):470-475.