Wu Yumin, Cheng Haobo, Wen Yongfu, Chen Xin, Wang Yingwei
Appl Opt. 2018 Jul 1;57(19):5364-5370. doi: 10.1364/AO.57.005364.
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.
在数字全息显微镜中，抑制相干噪声可以产生更高质量的重建图像。本文提出了一种稳健且有效的相位相干噪声去噪算法，该算法结合了各向异性扩散方程和相位质量图。为了准确识别噪声像素和信号像素，我们引入相位质量图和边缘检测来量化像素信息的质量。此外，基于质量系数建立了一个合成扩散函数来控制各向异性扩散过程的速度。已经进行了多项实验来验证所提算法在降低相干噪声方面的有效性。结果表明，所提算法能够降低相干噪声并很好地保留边缘细节。
