Analog image processing: Difference between revisions
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{{Distinguish|Digital image processing}} | |||
'''Analog image processing''' is the use of an [[Optical computing|optical computer]] to process physical, [[Image|optical images]]<ref>{{Cite journal |last1=Momeni |first1=Ali |last2=Rouhi |first2=Kasra |last3=Fleury |first3=Romain |date=2022-01-01 |title=Switchable and simultaneous spatiotemporal analog computing with computational graphene-based multilayers |url=https://infoscience.epfl.ch/record/289300/files/1-s2.0-S0008622321009738-main.pdf |journal=Carbon |volume=186 |pages=599–611 |doi=10.1016/j.carbon.2021.10.001 |issn=0008-6223|doi-access=free |arxiv=2104.10801 |bibcode=2022Carbo.186..599M }}</ref> formed by light waves coming from an object, as opposed to the [[Digital image processing|digital image processing]]<ref>{{Cite journal |last1=Burger |first1=Wilhelm |last2=Burge |first2=Mark J. |date=2022 |title=Digital Image Processing |url=https://link.springer.com/book/10.1007/978-3-031-05744-1 |journal=Texts in Computer Science |language=en |doi=10.1007/978-3-031-05744-1 |isbn=978-3-031-05743-4 |issn=1868-0941|url-access=subscription }}</ref> and its use of [[Computer|digital computers]] to process pixelated, [[Digital image|digital images]]. Correspondingly, a range of digital image processing techniques possess direct physical analogs. For example, [[Fast Fourier transform|fast Fourier transform algorithms]] are commonly implemented in digital [[Phase correlation|phase correlation]] and other digital image processing techniques.<ref>{{Cite journal |last1=Preibisch |first1=Stephan |last2=Saalfeld |first2=Stephan |last3=Tomancak |first3=Pavel |date=2009-04-03 |title=Globally optimal stitching of tiled 3D microscopic image acquisitions |url=https://academic.oup.com/bioinformatics/article/25/11/1463/332497 |journal=Bioinformatics |volume=25 |issue=11 |pages=1463–1465 |doi=10.1093/bioinformatics/btp184 |issn=1367-4811 |pmc=2682522 |pmid=19346324}}</ref><ref>{{Cite journal |last1=Kyeremah |first1=Charlotte |last2=La |first2=Jeffrey |last3=Gharbi |first3=Mohamed Amine |last4=Yelleswarapu |first4=Chandra S. |date=2022-03-01 |title=Exploring different textures of a nematic liquid crystal for quantitative Fourier phase contrast microscopy |url=https://linkinghub.elsevier.com/retrieve/pii/S0030399221007192 |journal=Optics & Laser Technology |volume=147 |article-number=107631 |doi=10.1016/j.optlastec.2021.107631 |bibcode=2022OptLT.14707631K |issn=0030-3992|url-access=subscription }}</ref> These digital [[Fourier transform|Fourier transforms]] can be considered to be the digitized approximation of methods utilizing [[Fourier optics#Fourier transforming property of lenses|Fourier transforming properties of an ideal lens]].<ref>{{Cite journal |last=Lugt |first=A.V. |date=April 1964 |title=Signal detection by complex spatial filtering |journal=IEEE Transactions on Information Theory |volume=10 |issue=2 |pages=139–145 |doi=10.1109/tit.1964.1053650 |bibcode=1964ITIT...10..139L |issn=0018-9448|hdl=2027.42/8080 |hdl-access=free }}</ref> | |||
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[[Category:Image processing]] | == References == | ||
{{Reflist}} | |||
[[Category:Image processing| ]] | |||
{{Sourceattribution|Analog image processing}} | {{Sourceattribution|Analog image processing}} | ||
Latest revision as of 11:54, 24 May 2026
Analog image processing is the use of an optical computer to process physical, optical images[1] formed by light waves coming from an object, as opposed to the digital image processing[2] and its use of digital computers to process pixelated, digital images. Correspondingly, a range of digital image processing techniques possess direct physical analogs. For example, fast Fourier transform algorithms are commonly implemented in digital phase correlation and other digital image processing techniques.[3][4] These digital Fourier transforms can be considered to be the digitized approximation of methods utilizing Fourier transforming properties of an ideal lens.[5]
References
- ↑ Momeni, Ali; Rouhi, Kasra; Fleury, Romain (2022-01-01). "Switchable and simultaneous spatiotemporal analog computing with computational graphene-based multilayers". Carbon 186: 599–611. doi:10.1016/j.carbon.2021.10.001. ISSN 0008-6223. Bibcode: 2022Carbo.186..599M. https://infoscience.epfl.ch/record/289300/files/1-s2.0-S0008622321009738-main.pdf.
- ↑ Burger, Wilhelm; Burge, Mark J. (2022). "Digital Image Processing" (in en). Texts in Computer Science. doi:10.1007/978-3-031-05744-1. ISBN 978-3-031-05743-4. ISSN 1868-0941. https://link.springer.com/book/10.1007/978-3-031-05744-1.
- ↑ Preibisch, Stephan; Saalfeld, Stephan; Tomancak, Pavel (2009-04-03). "Globally optimal stitching of tiled 3D microscopic image acquisitions". Bioinformatics 25 (11): 1463–1465. doi:10.1093/bioinformatics/btp184. ISSN 1367-4811. PMID 19346324. PMC 2682522. https://academic.oup.com/bioinformatics/article/25/11/1463/332497.
- ↑ Kyeremah, Charlotte; La, Jeffrey; Gharbi, Mohamed Amine; Yelleswarapu, Chandra S. (2022-03-01). "Exploring different textures of a nematic liquid crystal for quantitative Fourier phase contrast microscopy". Optics & Laser Technology 147. doi:10.1016/j.optlastec.2021.107631. ISSN 0030-3992. Bibcode: 2022OptLT.14707631K. https://linkinghub.elsevier.com/retrieve/pii/S0030399221007192.
- ↑ Lugt, A.V. (April 1964). "Signal detection by complex spatial filtering". IEEE Transactions on Information Theory 10 (2): 139–145. doi:10.1109/tit.1964.1053650. ISSN 0018-9448. Bibcode: 1964ITIT...10..139L.
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