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Blurry imaging limits clarified thanks to information technology

[2019.11.08, Fri 13:03] To recover an accurate image, the imaging system must transmit those spatial frequencies without modifying them. If the imaging system cannot transmit frequencies above a certain limit, then the image will not contain that information, resulting in blurring. If you consider the imaging system as able to transmit spatial frequencies up to a cutoff frequency, but unable to transmit frequencies above the cutoff, then the resulting image resolution will be exactly as predicted by Abbe. The information transmitted by an imaging system is described by exactly the same maths as used by engineers studying the transmission of data down telephone wires, which allows the tools of information theory to be used to predict the performance of imaging systems. Narimanov has gone a step further in abstracting the imaging process by only considering information transfer, independently of how that information is encoded. Leveraging this theory, the paper also includes a number of calculations for more specific imaging systems, such as those that use structured illumination, and for the case of imaging sparse objects, which have few features often clumped together. 5.056003 Provided by SPIE. Citation: Blurry imaging limits clarified thanks to information technology retrieved 8 November 2019 from https://phys.org/news/2019-11-blurry-imaging-limits-technology.
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