Coherent noise reduction of phase images in digital holographic microscopy based on the adaptive anisotropic diffusion

Yumin Wu, Haobo Cheng*, Yongfu Wen, Xin Chen, Yingwei Wang

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

18 引用 (Scopus)

摘要

The suppression of coherent noise can produce higher-quality reconstructed images in digital holographic microscopy. A robust and effective phase coherent noise denoising algorithm is proposed in this paper that combines the anisotropic diffusion equation and the phase quality map. In order to accurately identify the noise and signal pixels, we introduce the phase quality map and edge detection to quantify the quality of the pixel information. In addition, a synthetic diffusion function is established to control the speed of the anisotropic diffusion process based on the quality coefficient. Several experiments have been carried out to validate the effectiveness of the proposed algorithm for coherent noise reduction. The results demonstrate that the proposed algorithm can reduce coherent noise and preserve edge details well.

源语言英语
页(从-至)5364-5370
页数7
期刊Applied Optics
57
19
DOI
出版状态已出版 - 1 7月 2018

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