Vicidomini Giuseppe, Mondal Partha Pratim, Diaspro Alberto
LAMBS-MicroSCoBiO, DISI, University of Genoa, Genoa, Italy.
Opt Lett. 2006 Dec 15;31(24):3582-4. doi: 10.1364/ol.31.003582.
We propose a maximum a posteriori image restoration approach to 3D confocal microscopy. The image field is suitably modeled as a Markov random field, resulting in a Gibbs distributed image. A fuzzy-logic-based potential is employed in the Gibbs prior. Unlike other potentials, the fuzzy potential distinguishes intensity variation due to genuine edges and noise. The proposed approach has generated artifact-free restored confocal microscopy images.
我们提出了一种用于三维共聚焦显微镜的最大后验图像恢复方法。图像场被适当地建模为马尔可夫随机场，从而得到一个吉布斯分布的图像。在吉布斯先验中采用了基于模糊逻辑的势函数。与其他势函数不同，模糊势函数能够区分由真实边缘和噪声引起的强度变化。所提出的方法生成了无伪影的恢复后的共聚焦显微镜图像。
