Bianco Vittorio, Memmolo Pasquale, Leo Marco, Montresor Silvio, Distante Cosimo, Paturzo Melania, Picart Pascal, Javidi Bahram, Ferraro Pietro
CNR-ISASI Istituto di Scienze Applicate e Sistemi Intelligenti "E. Caianiello", via Campi Flegrei 34, 80078 Pozzuoli (NA), Italy.
2Université du Maine, CNRS UMR 6613, LAUM, Avenue Olivier Messiaen, 72085 Le Mans Cedex 9, France.
Light Sci Appl. 2018 Aug 1;7:48. doi: 10.1038/s41377-018-0050-9. eCollection 2018.
Digital holography (DH) has emerged as one of the most effective coherent imaging technologies. The technological developments of digital sensors and optical elements have made DH the primary approach in several research fields, from quantitative phase imaging to optical metrology and 3D display technologies, to name a few. Like many other digital imaging techniques, DH must cope with the issue of speckle artifacts, due to the coherent nature of the required light sources. Despite the complexity of the recently proposed de-speckling methods, many have not yet attained the required level of effectiveness. That is, a universal denoising strategy for completely suppressing holographic noise has not yet been established. Thus the removal of speckle noise from holographic images represents a bottleneck for the entire optics and photonics scientific community. This review article provides a broad discussion about the noise issue in DH, with the aim of covering the best-performing noise reduction approaches that have been proposed so far. Quantitative comparisons among these approaches will be presented.
数字全息术(DH)已成为最有效的相干成像技术之一。数字传感器和光学元件的技术发展使数字全息术成为从定量相位成像到光学计量学和3D显示技术等多个研究领域的主要方法。与许多其他数字成像技术一样,由于所需光源的相干特性,数字全息术必须应对散斑伪像问题。尽管最近提出的去散斑方法很复杂,但许多方法尚未达到所需的有效性水平。也就是说,尚未建立一种完全抑制全息噪声的通用去噪策略。因此,从全息图像中去除散斑噪声是整个光学和光子学科学界的一个瓶颈。这篇综述文章对数字全息术中的噪声问题进行了广泛讨论,目的是涵盖迄今为止提出的性能最佳的降噪方法。将对这些方法进行定量比较。