Multi-exposure Image Fusion Based on Attention Mechanism

Bendu BAI; Junpeng LI

doi:10.3788/gzxb20225104.0410004

[1] G DONG, C YUAN, S ZHUN et al. Correcting over-exposure in photographs, 515-512(2010).

[2] O R RAMIREZ, I MARTIN, LOSCOS et al. Full high dynamic range images for dynamic scenes, 843609-843625(2012).

[3] R SHEN, I CHENG, J SHI et al. Generalized random walks for fusion of multi-exposure images. IEEE Transactions on Image Processing, 20, 3634-3646(2011).

[4] Jinbo ZHAO, Bendu BAI, Jiulun FAN et al. An acquisition method of minimal-bracketing sets based on optimal exposure. Journal of Computer-Aided Design & Computer Graphics, 30, 1890-1898(2018).

[5] E REINHARD, STARKM , P SHIRLEY et al. Photographic tone reproduction for digital images, 267-276(2002).

[6] S LI, X KANG, L FANG et al. Pixel-level image fusion: a survey of the state of the art. Information Fusion, 33, 100-112(2017).

[7] Z YANG, Y CHEN, Z LE et al. GANFuse: a novel multi-exposure image fusion method based on generative adversarial networks. Neural Computing and Applications, 33, 6133-6145(2021).

[8] Y LIU, C XUN, R K WARD et al. Image fusion with convolutional sparse representation. IEEE Signal Processing Letters, 23, 1882-1886(2016).

[9] H LI, X J WU, J KITTLER. Infrared and visible image fusion using a deep learning framework, 2705-2710(2018).

[10] K MA, Z DUANMU, H ZHU et al. Deep guided learning for fast multi-exposure image fusion. IEEE Transactions on Image Processing, 29, 2808-2819(2020).

[11] K MA, L HUI, H YONG et al. Robust multi-exposure image fusion: a structural patch decomposition approach. IEEE Transactions on Image Processing, 26, 2519-2532(2017).

[12] X ZHANG. Benchmarking and comparing multi-exposure image fusion algorithms. Information Fusion, 74, 111-131(2021).

[13] K R PRABHAKAR, V S SRIKAR, R V BABU. DeepFuse: a deep unsupervised approach for exposure fusion with extreme exposure image pairs, 4724-4732(2017).

[14] H XU, J MA, X P ZHANG. MEF-GAN: multi-exposure image fusion via generative adversarial networks. IEEE Transactions on Image Processing, 29, 7203-7216(2020).

[15] J MA, W YU, P LIANG et al. FusionGAN: a generative adversarial network for infrared and visible image fusion. Information Fusion, 48, 11-26(2019).

[16] Q YAN, D GONG, Q SHI et al. Attention-guided network for ghost-free high dynamic range imaging, 1751-1760(2019).

[17] J CAI, S GU, L ZHANG. Learning a deep single image contrast enhancer from multi-exposure images. IEEE Transactions on Image Processing, 27, 2049-2062(2018).

[18] S LI, X KANG, J HU. Image fusion with guided filtering. IEEE Transactions on Image processing, 22, 2864-2875(2013).

[19] Y LIU, Z WANG. Dense SIFT for ghost-free multi-exposure fusion. Journal of Visual Communication and Image Representation, 31, 208-224(2015).