Reduction of speckle noise in digital holography by using of multiple holograms

Zhaoji Chen; Zhongjia Guo; Zhihui Zhang; Huaying Wang

doi:10.1117/12.870553

17 November 2010 Reduction of speckle noise in digital holography by using of multiple holograms

Zhaoji Chen, Zhongjia Guo, Zhihui Zhang, Huaying Wang

Proceedings Volume 7848, Holography, Diffractive Optics, and Applications IV; 784832 (2010) https://doi.org/10.1117/12.870553
Event: Photonics Asia 2010, 2010, Beijing, China

Abstract

In this paper, a method of reduction speckle noise in digital holography is presented. This method can suppress the speckle noise effectively. First, a series of digital holograms are recorded with different titled plane wave illuminations. Then each of the complex amplitude is reconstructed. The speckle noise is suppressed by incoherent superposition of the reconstructed intensity image fields. One of the advantages of this method is that the procedure is very simple and effective. We make computer simulation by applying Fresnel transform algorithm and multiple reconstructed intensity images of a picture with different titled plane wave as illuminating object light. The simulation results show that the more the superposition of reconstructed intensity images, the better the reduction of speckle noise. And it also demonstrates the validation of the present method.

Citation Download Citation

Zhaoji Chen, Zhongjia Guo, Zhihui Zhang, and Huaying Wang "Reduction of speckle noise in digital holography by using of multiple holograms", Proc. SPIE 7848, Holography, Diffractive Optics, and Applications IV, 784832 (17 November 2010); https://doi.org/10.1117/12.870553

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available