Effects of different correlations of partially coherent electromagnetic beam on three-dimensional spectral intensity distribution in the focal region

2010 ◽  
Vol 283 (23) ◽  
pp. 4572-4581 ◽  
Author(s):  
Wanrong Gao
Keyword(s):  
Intensity Distribution ◽  
Three Dimensional ◽  
Spectral Intensity ◽  
Focal Region ◽  
Electromagnetic Beam ◽  
Partially Coherent

Intensity Distribution Characteristics of Partially Coherent Flat-Topped Beam Combination Projected on Cavity Wall

2016 ◽  
Vol 53 (4) ◽  
pp. 041404
Author(s):  
陈明玉 Chen Mingyu ◽  
李小燕 Li Xiaoyan ◽  
陈子阳 Chen Ziyang ◽  
蒲继雄 Pu Jixiong ◽  
林志立 Lin Zhili
Keyword(s):  
Intensity Distribution ◽  
Cavity Wall ◽  
Distribution Characteristics ◽  
Beam Combination ◽  
Partially Coherent

scholarly journals Smart filtering of phase residues in noisy wrapped holograms

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Behnam Tayebi ◽  
Farnaz Sharif ◽  
Jae-Ho Han
Keyword(s):  
Iterative Algorithm ◽  
Intensity Distribution ◽  
Three Dimensional ◽  
Phase Unwrapping ◽  
Spatial Frequencies ◽  
Phase Map ◽  
Filtering Technique ◽  
Automatic Filtering ◽  
Simple Phase

Abstract Phase unwrapping is one of the major challenges in multiple branches of science that extract three-dimensional information of objects from wrapped signals. In several applications, it is important to extract the unwrapped information with minimal signal resolution degradation. However, most of the denoising techniques for unwrapping are designed to operate on the entire phase map to remove a limited number of phase residues, and therefore they significantly degrade critical information contained in the image. In this paper, we present a novel, smart, and automatic filtering technique for locally minimizing the number of phase residues in noisy wrapped holograms, based on the phasor average filtering (PAF) of patches around each residue point. Both patch sizes and PAF filters are increased in an iterative algorithm to minimize the number of residues and locally restrict the artifacts caused by filtering to the pixels around the residue pixels. Then, the improved wrapped phase can be unwrapped using a simple phase unwrapping technique. The feasibility of our method is confirmed by filtering, unwrapping, and enhancing the quality of a noisy hologram of neurons; the intensity distribution of the spatial frequencies demonstrates a 40-fold improvement, with respect to previous techniques, in preserving the higher frequencies.

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