Attention-based denoising for polarimetric images

Hedong Liu; Haofeng Hu; Hongyuan Wang; Tiegen Liu

doi:10.1117/12.2607380

8 July 2022 Attention-based denoising for polarimetric images

Hedong Liu, Haofeng Hu, Hongyuan Wang, Tiegen Liu

Proceedings Volume 12281, 2021 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology; 1228106 (2022) https://doi.org/10.1117/12.2607380
Event: 2021 International Conference on Optical Instruments and Technology, 2022, Online Only

Abstract

Polarization imaging technology has a wide range of applications. However, in practice, polarmetric images are greatly affected by noise, which leads to the loss of polarization information. In this paper, we propose, an attention-based method for polarimetric image denoising. This method innovative utilizes the attention based residual dense network and take full advantage of the importance between feature maps. Experimental results show the proposed method can effectively recover the polarization information from the polarimetric images with low signal noise radio and outperforms other existing methods. Especially for the images of the degree of polarization and the angle of polarization, which are quite sensitive to the noise, the proposed attention-based method can well restore the image detail which is covered by noise.

Citation Download Citation

Hedong Liu, Haofeng Hu, Hongyuan Wang, and Tiegen Liu "Attention-based denoising for polarimetric images", Proc. SPIE 12281, 2021 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 1228106 (8 July 2022); https://doi.org/10.1117/12.2607380

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