Analog image processing

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" (PDF). Carbon. 186: 599–611. doi:10.1016/j.carbon.2021.10.001. ISSN 0008-6223.
^ Burger, Wilhelm; Burge, Mark J. (2022). "Digital Image Processing". Texts in Computer Science. doi:10.1007/978-3-031-05744-1. ISBN 978-3-031-05743-4. ISSN 1868-0941.
^ 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. PMC 2682522. PMID 19346324.
^ 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: 107631. doi:10.1016/j.optlastec.2021.107631. ISSN 0030-3992.
^ 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. hdl:2027.42/8080. ISSN 0018-9448.

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