Fusion-based effective noise removal approach with the reconstruction of guided reference image

Yaozhen Liu; Wenchao Cai; Ning Liu; Wenxin Zhang; Sijie Guo; Lu Qi; Yangkang Wu; Yanhao Chen; Zipeng Li

doi:10.1117/12.2624539

27 March 2022 Fusion-based effective noise removal approach with the reconstruction of guided reference image

Yaozhen Liu, Wenchao Cai, Ning Liu, Wenxin Zhang, Sijie Guo, Lu Qi, Yangkang Wu, Yanhao Chen, Zipeng Li

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121695Q (2022) https://doi.org/10.1117/12.2624539
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

Image denoising approach has been studied for many decades. The main focus of image denosing is how to preserve image detail while remove image noise, however, it is hard to precisely distinguish the detail from noise. Up to now, even the state-of-the-art methods have the disadvantage of smoothing the detail with the noise at the same time. Inspired by the guided image filter(GIF) approach, we come up with a brand new approach to eliminate the image noise without losing the detail. A high quality guidance image is reconstructed by the specific fusion method of the near infrared image and the RGB image. With the reconstructed guidance image, the GIF approach can provide precise guidance filtering effect on the noisy RGB image. This approach performs good under strong noise level without smoothing the detail. Theoretical analysis and experimental results demonstrate that our method performs much better than the proposed methods. Examples have given illustrations of the proposed method.

Citation Download Citation

Yaozhen Liu, Wenchao Cai, Ning Liu, Wenxin Zhang, Sijie Guo, Lu Qi, Yangkang Wu, Yanhao Chen, and Zipeng Li "Fusion-based effective noise removal approach with the reconstruction of guided reference image", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121695Q (27 March 2022); https://doi.org/10.1117/12.2624539

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KEYWORDS

Image fusion

Near infrared

Image filtering

RGB color model

Image processing

Image restoration

Image denoising

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