dc.contributor.author |
., Manisha |
|
dc.contributor.author |
Tiwari, Vipin |
|
dc.contributor.author |
Bisht, Nandan S. |
|
dc.contributor.author |
Das, Bhargab |
|
dc.contributor.author |
Singh, Rakesh Kumar |
|
dc.date.accessioned |
2024-02-28T09:53:21Z |
|
dc.date.available |
2024-02-28T09:53:21Z |
|
dc.date.issued |
2022-09-17 |
|
dc.identifier.issn |
00304018 |
|
dc.identifier.uri |
http://localhost:8080/xmlui/handle/123456789/2977 |
|
dc.description |
This paper published with affiliation IIT (BHU), Varanasi in open access mode. |
en_US |
dc.description.abstract |
We report a new method to reconstruct a two-dimensional object in Ghost diffraction scheme using a spatial statistical optics approach. This is implemented by using a static diffuser rather than a pseudo thermal light source generated with a rotating diffuser as used in conventional ghost imaging systems. The experimental implementation makes use of spatial ergodicity and spatial stationarity for spatially distributed random fields by following an analogy between time average and space average. The ensemble average is replaced by space average under the condition of spatial stationarity and ergodicity. A strategy to realize the Ghost diffraction scheme through spatial intensity correlation with a phase retrieval algorithm permits reconstruction of the transparency. |
en_US |
dc.description.sponsorship |
Manisha acknowledges fellowship from the IIT (BHU) . Vipin Tiwari would like to acknowledge support from DST-INSPIRE ( IF-170861 ).
This work is supported by Science and Engineering Research Board (SERB) India - CORE/2019/000026 and Council of Scientific and Industrial Research (CSIR), India - Grant No 80 (0092)/20/EMR-II . |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Elsevier B.V. |
en_US |
dc.relation.ispartofseries |
Optics Communications;528 |
|
dc.subject |
Imaging |
en_US |
dc.subject |
Phase retrieval |
en_US |
dc.subject |
Scattering media |
en_US |
dc.subject |
Speckle |
en_US |
dc.title |
Ghost diffraction: A spatial statistical approach |
en_US |
dc.type |
Article |
en_US |