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Continuous tone image

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Image in which each point can transition smoothly between shades
Fine Wind, Clear Morning, the second print inHokusai'sThirty-six Views of Mount Fuji (20th century reprint). Wood block prints like this are an example of a continuous-tone image.

Acontinuous-toneimage is one in which each color at any point in the image can transition smoothly between shades, rather than being represented by discrete elements such ashalftones orpixels.[1]

Many printing methods use discrete halftone dots of cyan, magenta, yellow, and black (CMYK). Although halftone images are not continuously toned, they can appear continuous with high enoughresolution or when viewed from a far enough distance.

Examples of continuous-tone images are natural phenomena,[2] images produced with dye-based processes,[3] images produced with certain analog printmaking processes (intaglio,block printing,stone lithography),[4] and paintings. Halftone prints (as produced withinkjet andoffset printers), traditional film, and digital screens are not truly continuous-tone since they rely on discrete elements (halftones, grains, or pixels) to create an image.[5] However, the term applies when the appearance is so smooth that the breaks or gaps between tonal values are imperceptible.[6]

TV, computer and phone displays are effectively continuous. Purely analogvideo signals can provide infinite tone variations according to theirgamut.

See also

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References

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  1. ^McCulloch, Joseph (2008). "Understanding Continuous Tone and Halftone Printing".Printmaking Today. Vol. 20, no. 4. pp. 34–40.
  2. ^Elkins, James (2001).Why Art Cannot Be Taught: A Handbook for Art Students. University of Illinois Press.
  3. ^Sweeney, Megan (2012). "Dye Sublimation: An Overview".Journal of Imaging Science and Technology.56 (2):220–226.
  4. ^Anderson, Katherine (2015).The Printmaking Primer: A Beginner's Guide to Printmaking Techniques. RIT Press.
  5. ^McCullough, Michael (2018).Digital Media: A Practical Guide for Artists and Designers. Wiley.
  6. ^Stork, David (2013).The Science of Image Processing: An Overview. Springer.
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