Researching | Infrared and Visible Image Fusion Using Anisotropic Guided Filtering

Laser & Optoelectronics Progress, Volume. 61, Issue 24, 2437007(2024)

Infrared and Visible Image Fusion Using Anisotropic Guided Filtering

Zhaoyang Tong, Shen Yang^*, Shibin Du, and Zefeng Huang

Author Affiliations

School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, Hubei , China

show less

Abstract Get PDF(in Chinese)

Figures&Tables (8)

References (26)

Paper Information

References(26)

[1] Jin W Q, Li L, Wang X. Research and application of thermal imaging mode and image processing technology[J]. Acta Optica Sinica, 43, 1510001(2023).

[2] Goshtasby A A, Nikolov S. Image fusion: advances in the state of the art[J]. Information Fusion, 8, 114-118(2007).

[3] Ma J Y, Ma Y, Li C. Infrared and visible image fusion methods and applications: a survey[J]. Information Fusion, 45, 153-178(2019).

[4] Ma W H, Wang K, Li J W et al. Infrared and visible image fusion technology and application: a review[J]. Sensors, 23, 599(2023).

[5] Li H, Wu X J, Durrani T. NestFuse: an infrared and visible image fusion architecture based on nest connection and spatial/channel attention models[J]. IEEE Transactions on Instrumentation and Measurement, 69, 9645-9656(2020).

[6] Fan W Q, Li X Y, Liu Z C. Fusion of visible and infrared images using GE-WA model and VGG-19 network[J]. Scientific Reports, 13, 190(2023).

[7] Ma J Y, Yu W, Liang P W et al. FusionGAN: a generative adversarial network for infrared and visible image fusion[J]. Information Fusion, 48, 11-26(2019).

[8] Sun J G, Han Q L, Kou L et al. Multi-focus image fusion algorithm based on Laplacian Pyramids[J]. Journal of the Optical Society of America A, 35, 480-490(2018).

[9] Li H, Manjunath B S, Mitra S K. Multisensor image fusion using the wavelet transform[J]. Graphical Models and Image Processing, 57, 235-245(1995).

[10] Ruan L N, Dong Y. Non-subsampling shearlet transform remote sensing image fusion with improved dual-channel adaptive pulse coupled neural network[J]. Laser & Optoelectronics Progress, 60, 1028004(2023).

[11] Adu J H, Gan J H, Wang Y et al. Image fusion based on nonsubsampled contourlet transform for infrared and visible light image[J]. Infrared Physics & Technology, 61, 94-100(2013).

[12] Li S T, Kang X D, Hu J W. Image fusion with guided filtering[J]. IEEE Transactions on Image Processing, 22, 2864-2875(2013).

[13] Ren L, Pan Z B, Cao J Z et al. Infrared and visible image fusion based on weighted variance guided filter and image contrast enhancement[J]. Infrared Physics & Technology, 114, 103662(2021).

[14] Ochotorena C N, Yamashita Y. Anisotropic guided filtering[J]. IEEE Transactions on Image Processing, 29, 1397-1412(2020).

[15] Zhou Z Q, Wang B, Li S et al. Perceptual fusion of infrared and visible images through a hybrid multi-scale decomposition with Gaussian and bilateral filters[J]. Information Fusion, 30, 15-26(2016).

[16] He K M, Sun J, Tang X O. Guided image filtering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35, 1397-1409(2013).

[17] Achanta R, Hemami S, Estrada F et al. Frequency-tuned salient region detection[C], 1597-1604(2009).

[18] Ma J L, Zhou Z Q, Wang B et al. Infrared and visible image fusion based on visual saliency map and weighted least square optimization[J]. Infrared Physics & Technology, 82, 8-17(2017).

[19] Bavirisetti D P, Xiao G, Liu G. Multi-sensor image fusion based on fourth order partial differential equations[C](2017).

[20] Bavirisetti D P, Xiao G, Zhao J H et al. Multi-scale guided image and video fusion: a fast and efficient approach[J]. Circuits, Systems, and Signal Processing, 38, 5576-5605(2019).

[21] Li H, Qi X B, Xie W Y. Fast infrared and visible image fusion with structural decomposition[J]. Knowledge-Based Systems, 204, 106182(2020).

[22] Chen J, Li X J, Luo L B et al. Infrared and visible image fusion based on target-enhanced multiscale transform decomposition[J]. Information Sciences, 508, 64-78(2020).

[23] Li H, Wu X J, Kittler J. RFN-Nest: an end-to-end residual fusion network for infrared and visible images[J]. Information Fusion, 73, 72-86(2021).

[24] Veshki F G, Ouzir N, Vorobyov S A et al. Multimodal image fusion via coupled feature learning[J]. Signal Processing, 200, 108637(2022).

[25] Li X L, Tan H S, Zhou F Q et al. Infrared and visible image fusion based on domain transform filtering and sparse representation[J]. Infrared Physics & Technology, 131, 104701(2023).

[26] Zhao Z X, Bai H W, Zhang J S et al. CDDFuse: correlation-driven dual-branch feature decomposition for multi-modality image fusion[C], 5906-5916(2023).

Tools

Get Citation

Copy Citation Text

Zhaoyang Tong, Shen Yang, Shibin Du, Zefeng Huang. Infrared and Visible Image Fusion Using Anisotropic Guided Filtering[J]. Laser & Optoelectronics Progress, 2024, 61(24): 2437007

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Digital Image Processing

Received: Mar. 29, 2024

Accepted: May. 20, 2024

Published Online: Dec. 13, 2024

The Author Email: Shen Yang (yangshen@wust.edu.cn)

DOI:10.3788/LOP240991

CSTR:32186.14.LOP240991

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology