2023
DOI: 10.3390/app13126954
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Improvements of Computational Ghost Imaging by Using Sequenced Speckle

Abstract: This study presents a computational ghost imaging (GI) scheme that utilizes sequenced random speckle pattern illumination. The primary objective is to develop a speckle pattern/sequence that improves computational time without compromising image quality. To achieve this, we modulate the sequence of speckle sizes and design experiments based on three sequence rules for ordering the random speckle patterns. Through theoretical analysis and experimental validation, we demonstrate that our proposed scheme achieves… Show more

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Cited by 3 publications
(2 citation statements)
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“…Various applications of this approach have been documented across fields such as medicine, biology, industry, and food quality assessment [ 4 , 5 , 6 , 7 , 8 , 9 ]. Sometimes, speckle imaging is also associated with ghost imaging [ 10 ].…”
Section: Introductionmentioning
confidence: 99%
“…Various applications of this approach have been documented across fields such as medicine, biology, industry, and food quality assessment [ 4 , 5 , 6 , 7 , 8 , 9 ]. Sometimes, speckle imaging is also associated with ghost imaging [ 10 ].…”
Section: Introductionmentioning
confidence: 99%
“…Computational ghost imaging is a technique that involves creating an image of an object by shining a series of random binary patterns on it and using a single-pixel detector. A new method for computational ghost imaging that uses sequenced random speckle patterns as the light source is proposed in [5]. Speckle patterns are patterns of bright and dark spots produced by laser light scattering from a rough surface.…”
mentioning
confidence: 99%