Speckle Reduction of Reconstructions of Digital Holograms Using Gamma-Correction and Filtering

Speckle noise is inevitable in the process of acquiring of digital holograms. In this paper, a new approach is proposed to suppress the speckle noise in the digital hologram. The method is composed of two steps: 1) to enhance the noisy digital holograms by Gamma correction, and 2) to process the rec...

Full description

Bibliographic Details
Main Authors: Xiaohui Huang, Zhenhong Jia, Junlin Zhou, Jie Yang, Nikola Kasabov
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8031961/
_version_ 1819163088543285248
author Xiaohui Huang
Zhenhong Jia
Junlin Zhou
Jie Yang
Nikola Kasabov
author_facet Xiaohui Huang
Zhenhong Jia
Junlin Zhou
Jie Yang
Nikola Kasabov
author_sort Xiaohui Huang
collection DOAJ
description Speckle noise is inevitable in the process of acquiring of digital holograms. In this paper, a new approach is proposed to suppress the speckle noise in the digital hologram. The method is composed of two steps: 1) to enhance the noisy digital holograms by Gamma correction, and 2) to process the reconstructed images by filtering. It is demonstrated that the presented method can effectively reduce speckle noise in the digital hologram.
first_indexed 2024-12-22T17:38:34Z
format Article
id doaj.art-2998340c49624b66852ad118b46ac5f5
institution Directory Open Access Journal
issn 2169-3536
language English
last_indexed 2024-12-22T17:38:34Z
publishDate 2018-01-01
publisher IEEE
record_format Article
series IEEE Access
spelling doaj.art-2998340c49624b66852ad118b46ac5f52022-12-21T18:18:28ZengIEEEIEEE Access2169-35362018-01-0165227523510.1109/ACCESS.2017.27515408031961Speckle Reduction of Reconstructions of Digital Holograms Using Gamma-Correction and FilteringXiaohui Huang0https://orcid.org/0000-0003-1236-2060Zhenhong Jia1Junlin Zhou2Jie Yang3Nikola Kasabov4College of Information Science and Engineering, Xinjiang University, Urumchi, ChinaCollege of Information Science and Engineering, Xinjiang University, Urumchi, ChinaCollege of Information Science and Engineering, Xinjiang University, Urumchi, ChinaInstitute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, ChinaKnowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland, New ZealandSpeckle noise is inevitable in the process of acquiring of digital holograms. In this paper, a new approach is proposed to suppress the speckle noise in the digital hologram. The method is composed of two steps: 1) to enhance the noisy digital holograms by Gamma correction, and 2) to process the reconstructed images by filtering. It is demonstrated that the presented method can effectively reduce speckle noise in the digital hologram.https://ieeexplore.ieee.org/document/8031961/Holographyimage enhancementfilteringnoise
spellingShingle Xiaohui Huang
Zhenhong Jia
Junlin Zhou
Jie Yang
Nikola Kasabov
Speckle Reduction of Reconstructions of Digital Holograms Using Gamma-Correction and Filtering
IEEE Access
Holography
image enhancement
filtering
noise
title Speckle Reduction of Reconstructions of Digital Holograms Using Gamma-Correction and Filtering
title_full Speckle Reduction of Reconstructions of Digital Holograms Using Gamma-Correction and Filtering
title_fullStr Speckle Reduction of Reconstructions of Digital Holograms Using Gamma-Correction and Filtering
title_full_unstemmed Speckle Reduction of Reconstructions of Digital Holograms Using Gamma-Correction and Filtering
title_short Speckle Reduction of Reconstructions of Digital Holograms Using Gamma-Correction and Filtering
title_sort speckle reduction of reconstructions of digital holograms using gamma correction and filtering
topic Holography
image enhancement
filtering
noise
url https://ieeexplore.ieee.org/document/8031961/
work_keys_str_mv AT xiaohuihuang specklereductionofreconstructionsofdigitalhologramsusinggammacorrectionandfiltering
AT zhenhongjia specklereductionofreconstructionsofdigitalhologramsusinggammacorrectionandfiltering
AT junlinzhou specklereductionofreconstructionsofdigitalhologramsusinggammacorrectionandfiltering
AT jieyang specklereductionofreconstructionsofdigitalhologramsusinggammacorrectionandfiltering
AT nikolakasabov specklereductionofreconstructionsofdigitalhologramsusinggammacorrectionandfiltering