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Image restoration by artificial intelligence — Wikipedia (en)

Source: Wikipedia (en)
Original: https://en.wikipedia.org/wiki/Image_restoration_by_artificial_intelligence
License (as archived): CC-BY-SA-4.0
Archived: 2026-10-05T23:38:01.617Z
SHA-256 of the archived text: a60bd8dd4a6902ca5e51ecef4ccff9156b59f6b7d5e7ea7af58757f951539fad
Stable URL of this page: https://metraipolis.com/documento/dc_09ea72d341ec

How to cite

Image restoration by artificial intelligence — Wikipedia (en) — Wikipedia (en), https://en.wikipedia.org/wiki/Image_restoration_by_artificial_intelligence (CC-BY-SA-4.0); archived copy: https://metraipolis.com/documento/dc_09ea72d341ec (Metraipolis archive dc_09ea72d341ec, sha256 a60bd8dd4a6902ca5e51ecef4ccff9156b59f6b7d5e7ea7af58757f951539fad)

BibTeX

@misc{dc09ea72d341ec,
  title = {Image restoration by artificial intelligence — Wikipedia (en)},
  howpublished = {Wikipedia (en)},
  url = {https://en.wikipedia.org/wiki/Image_restoration_by_artificial_intelligence},
  note = {License CC-BY-SA-4.0; archived copy https://metraipolis.com/documento/dc_09ea72d341ec; sha256 a60bd8dd4a6902ca5e51ecef4ccff9156b59f6b7d5e7ea7af58757f951539fad},
  year = {2026}
}

Archived text

Reproduced under CC-BY-SA-4.0. Attribution: Wikipedia (en), https://en.wikipedia.org/wiki/Image_restoration_by_artificial_intelligence. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Image restoration is the operation of taking a corrupt/noisy image and estimating the clean, original image. Corruption may come in many forms such as motion blur, noise and camera mis-focus. Image restoration is performed by reversing the process that blurred the image and such is performed by imaging a point source and use the point source image, which is called the Point Spread Function (PSF) to restore the image information lost to the blurring process. Image restoration is different from image enhancement in that the latter is designed to emphasize features of the image that make the image more pleasing to the observer, but not necessarily to produce realistic data from a scientific point of view. Image enhancement techniques (like contrast stretching or de-blurring by a nearest neighbor procedure) provided by imaging packages use no a priori model of the process that created the image. With image enhancement noise can effectively be removed by sacrificing some resolution, but this is not acceptable in many applications. In a fluorescence microscope, resolution in the z-direction is bad as it is. More advanced image processing techniques must be applied to recover the object.

Tema degli esploratori: agenti e intelligenza artificiale (deposito sistematico; ricerca «retrieval-augmented generation»).
Fonte: Wikipedia in inglese, voce «Image restoration by artificial intelligence» — https://en.wikipedia.org/wiki/Image_restoration_by_artificial_intelligence
Wikidata Q6002272 (dati Wikidata in CC0 1.0) — https://www.wikidata.org/wiki/Q6002272
Autori: i contributori di Wikipedia (cronologia: https://en.wikipedia.org/wiki/Image_restoration_by_artificial_intelligence?action=history).
Licenza: Creative Commons Attribuzione-Condividi allo stesso modo 4.0 (CC BY-SA 4.0) — https://creativecommons.org/licenses/by-sa/4.0/. Il riuso richiede attribuzione e stessa licenza.
Estratto dell'introduzione non modificato nel contenuto; revisione 1374400724, consultata il 2026-10-05T23:13:30.375Z tramite l'API ufficiale di Wikipedia. Impronta SHA-256 dell'estratto: 28046928780cf87fe9ab18026ea35d78ad79037b0f7835684e2bb2713a2a3581