2024 : 4 : 22
Mohammad Abolhassani

Mohammad Abolhassani

Academic rank: Associate Professor
ORCID: https://orcid.org/0000-0001-6112-0709
Education: PhD.
ScopusId: 16174353100
Faculty: Science
Address: Arak University
Phone:

Research

Title
Speckle noise reduction by changing sampling size in digital holography
Type
Presentation
Keywords
digital holography, speckle noise, sampling
Year
2012
Researchers Yadollah Rostami ، Mohammad Abolhassani

Abstract

Holography is a 3D imaging method. In digital holography, like classical holography, speckle noise presents in reconstruction process and reduces the image quality. Thus, speckle noise reduction has strong effect on the image quality. Because of random distribution of speckle characteristics, it is too hard to eliminate them completely. Up to now some methods have been proposed for speckle noise reduction. In this work a method has been presented which is based on statistical property of speckle noise. By averaging multiple reconstructed images with different speckle noise patterns it has been reduced. These reconstructed images have been acquired by changing the sampling size in the hologram plane.