Analog image processing

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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

  1. 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. Bibcode2022Carbo.186..599M. https://infoscience.epfl.ch/record/289300/files/1-s2.0-S0008622321009738-main.pdf. 
  2. 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. 
  3. 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. 
  4. 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. Bibcode2022OptLT.14707631K. https://linkinghub.elsevier.com/retrieve/pii/S0030399221007192. 
  5. 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. Bibcode1964ITIT...10..139L.