IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-42653-8_6.html
   My bibliography  Save this book chapter

Mathematically Based Algorithms for Film Digital Restoration

In: Imagine Math 7

Author

Listed:
  • Serena Bellotti

    (Computer Science Department, MIPS Lab, Università degli Studi di Milano)

  • Giulia Bottaro

    (Computer Science Department, MIPS Lab, Università degli Studi di Milano)

  • Alice Plutino

    (Computer Science Department, MIPS Lab, Università degli Studi di Milano)

  • Michele Valsesia

    (Computer Science Department, MIPS Lab, Università degli Studi di Milano)

Abstract

Since its invention in the nineteenth century, cinema has become one of the most important media of popular culture, becoming a fundamental part of our historical memory. Even with the advent of the digital, many directors prefer to shot movies on the analog support and in many festivals films are still projected using the traditional instruments. Unfortunately, the frequent projection of the film and the contact with dirt or worn rollers in the film path can cause film deterioration. Furthermore, damages can occur also outside the projector, if film is wound too tightly or loosely and stored in wrong conservation conditions, or also during the editing or restoration processes. Furthermore, films are subject to the aging of dyes contained in the emulsion and a fast decay of the support itself especially when the conservation conditions of temperature and humidity are not appropriated and controlled. The decay is an irreversible natural process that usually introduces a color dominant, loss of contrast and/or color desaturation. Dealing with the risks of losing the cinematographic heritage, the need to preserve moving images becomes more and more important, even though conservative practices are not yet defined or jointly approved by the film restoration community.

Suggested Citation

  • Serena Bellotti & Giulia Bottaro & Alice Plutino & Michele Valsesia, 2020. "Mathematically Based Algorithms for Film Digital Restoration," Springer Books, in: Michele Emmer & Marco Abate (ed.), Imagine Math 7, pages 89-104, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-42653-8_6
    DOI: 10.1007/978-3-030-42653-8_6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-030-42653-8_6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.