Recovering Image Information from Speckle Noise by Image Processing

Jianlin Nie, Steen G. Hanson, Mitsuo Takeda, Wei Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution


As a kind of noise, speckle seriously affects the imaging quality of optical imaging system. However, the speckle image carries a large amount of information related to the physical characteristics of the object surface, which can be used as the basis to identify and judge hidden objects. In this paper, speckle noise removal in optical imaging is studied. The average is derived for the squared moduli of spectra of short-exposure speckle images to recover the amplitude information. At the same time, cross-spectrum function is used to recover the phase information. We use this method to process the images. Then, the simulation experiment analysis is carried out by varying two aspects: the stacking numbers and the different objects. The results show that this method can recover the feature information from the speckle image, thus verifying the feasibility of the method.
Original languageEnglish
Title of host publicationICMVA '23: Proceedings of the 2023 6th International Conference on Machine Vision and Applications
PublisherAssociation for Computing Machinery
Number of pages5
ISBN (Print)9781450399531
Publication statusPublished - 9 Mar 2023


  • Image recovery
  • image processing
  • speckle noise

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software


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