Recovering Image Information from Speckle Noise by Image Processing

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

doi:10.1145/3589572.3589581

Recovering Image Information from Speckle Noise by Image Processing

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

Department of Electrical and Photonics Engineering

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

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 language	English
Title of host publication	Proceedings of the 6^th International Conference on Machine Vision and Applications
Publisher	Association for Computing Machinery
Publication date	10 Mar 2023
Pages	59-63
ISBN (Electronic)	9781450399531
DOIs	https://doi.org/10.1145/3589572.3589581
Publication status	Published - 10 Mar 2023
Event	6^th International Conference on Machine Vision and Applications - Singapore, Singapore Duration: 10 Mar 2023 → 12 Mar 2023 Conference number: 6

Conference

Conference	6^th International Conference on Machine Vision and Applications
Number	6
Country/Territory	Singapore
City	Singapore
Period	10/03/2023 → 12/03/2023

Keywords

Image processing
Image recovery
Speckle noise

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10.1145/3589572.3589581

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title = "Recovering Image Information from Speckle Noise by Image Processing",

abstract = "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.",

keywords = "Image processing, Image recovery, Speckle noise",

author = "Jianlin Nie and Hanson, {Steen G.} and Mitsuo Takeda and Wei Wang",

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month = mar,

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doi = "10.1145/3589572.3589581",

language = "English",

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Nie, J, Hanson, SG, Takeda, M & Wang, W 2023, Recovering Image Information from Speckle Noise by Image Processing. in Proceedings of the 6^th International Conference on Machine Vision and Applications. Association for Computing Machinery, pp. 59-63, 6^th International Conference on Machine Vision and Applications, Singapore, Singapore, 10/03/2023. https://doi.org/10.1145/3589572.3589581

Recovering Image Information from Speckle Noise by Image Processing. / Nie, Jianlin; Hanson, Steen G.; Takeda, Mitsuo et al.
Proceedings of the 6^th International Conference on Machine Vision and Applications. Association for Computing Machinery, 2023. p. 59-63.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Recovering Image Information from Speckle Noise by Image Processing

AU - Nie, Jianlin

AU - Hanson, Steen G.

AU - Takeda, Mitsuo

AU - Wang, Wei

N1 - Conference code: 6

PY - 2023/3/10

Y1 - 2023/3/10

N2 - 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.

AB - 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.

KW - Image processing

KW - Image recovery

KW - Speckle noise

U2 - 10.1145/3589572.3589581

DO - 10.1145/3589572.3589581

M3 - Article in proceedings

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EP - 63

BT - Proceedings of the 6th International Conference on Machine Vision and Applications

PB - Association for Computing Machinery

T2 - 6<sup>th</sup> International Conference on Machine Vision and Applications

Y2 - 10 March 2023 through 12 March 2023

ER -

Recovering Image Information from Speckle Noise by Image Processing

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