Zhao Ma , Jiale Long , Yi Ding , Jianmin Zhang , Jiangtao Xi , Yingrong Li , Yuyang Peng
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引用次数: 0
Abstract
Digital holographic microscopy (DHM) has been widely used in the biological and medical fields as an important tool for observing microstructures. However, the imaging quality of DHM is impacted by various random noises introduced by the light source and optical components as well as the experimental environment. In order to reduce the effect of random noise, this paper proposes an adaptive filtering and total directional variation (TDV) method based on the change of principal component analysis (PCA) transform domain to reduce the phase noise. The performance of the proposed method is tested by experiments, showing that it can effectively reduce the random noise of the phase image and retain details of the image well.
期刊介绍:
Optics & Laser Technology aims to provide a vehicle for the publication of a broad range of high quality research and review papers in those fields of scientific and engineering research appertaining to the development and application of the technology of optics and lasers. Papers describing original work in these areas are submitted to rigorous refereeing prior to acceptance for publication.
The scope of Optics & Laser Technology encompasses, but is not restricted to, the following areas:
•development in all types of lasers
•developments in optoelectronic devices and photonics
•developments in new photonics and optical concepts
•developments in conventional optics, optical instruments and components
•techniques of optical metrology, including interferometry and optical fibre sensors
•LIDAR and other non-contact optical measurement techniques, including optical methods in heat and fluid flow
•applications of lasers to materials processing, optical NDT display (including holography) and optical communication
•research and development in the field of laser safety including studies of hazards resulting from the applications of lasers (laser safety, hazards of laser fume)
•developments in optical computing and optical information processing
•developments in new optical materials
•developments in new optical characterization methods and techniques
•developments in quantum optics
•developments in light assisted micro and nanofabrication methods and techniques
•developments in nanophotonics and biophotonics
•developments in imaging processing and systems