Aliasing and Reconstruction Distortion in Digital Intermediates
Metadata
- Publisher
- SMPTE — White Plains, NY
- Doc Type
- Conference Paper
- Content Type
- Original Research
- Volume
- 2005, No. 11, pp. 1–15
- Abstract
- In this paper we address two types of artifacts associated with the image sampling and reconstruction process, namely, aliasing and reconstruction distortion. Aliasing is an artifact that results from sampling a continuous signal at too low a spatial rate relative to the input frequency content. Shannon's sampling theorem states that discrete sampling of a signal at a uniform rate higher than twice the highest frequency in the signal, called the Nyquist rate, will allow a perfect reconstruction of the original continuous signal. However, image displays do not reconstruct images according the ideal reconstruction equation, and in many cases, the display uses nothing more than a sample-and-hold reconstruction. It has long been known that non-ideal reconstruction can lead to distortion of the image data at frequencies below the Nyquist rate. Proper recognition of the distinction between aliasing and reconstruction errors can mean the difference between accepting and avoiding artifacts. With more and more film passing through the digital intermediate process, maintaining image quality is a high priority for artists and engineers alike. This paper discusses the causes of aliasing and reconstruction distortion and how to distinguish between them. We also discuss the implications for digital intermediate scanning and recording as well as the implications for digital cinema projection.
- Publication Date
- 2005-11-01
- DOI
10.5594/M00402- Link
- https://doi.org/10.5594/M00402
- Author(s)
- Gabriel FieldingEastman Kodak CompanyRyan HsuEastman Kodak CompanyPaul JonesEastman Kodak CompanyChris DuMontEastman Kodak Company
- Copyright
- © 2005 Society of Motion Picture and Television Engineers, Inc.
Bibliographic Reference(s)
- ISO.12233 — 4. “ISO 12233: 2000 Photography-Electronic Still Picture Cameras—Resolution Measurements,” published Sept. 1, 2000 . EXTERNAL
- [1] Blinn J. , “What We Need Around Here is More Aliasing,” IEEE Computer Graphics & Applications , pp. 75 – 79 , January 1989 . EXTERNAL
- [10] Morton R. DuMont C. Maurer M. , “Relationships Between Pixel Count, Aliasing, and Limiting Resolution in Digital Motion Picture Systems,” SMPTE Motion Imaging Journal , Vol. 112 , July/August 2003 . EXTERNAL
- [11] Oppenheim A. Schafer R. , Discrete-Time Signal Processing , Prentice Hall , Upper Saddle River, NJ , 1999 . EXTERNAL
- [12] Proakis J. G. Manolakis D.G. , Digital Signal Processing , Macmillan Publishing , New York, NY , 1992 . EXTERNAL
- [13] Williams G. , “Sub-Nyquist Distortions in Sampled Data, Waveform Recording, and Video Imaging,” NASA/TM-2000–210381, National Aeronautics and Space Administration, October 2000 . EXTERNAL
- [14] Wittenstein W. Fontanella J.C. Newbery A.R. Baars J. , “The Definition of the OTF and the Measurement of Aliasing for Sampled Imaging Systems” , 1981 . EXTERNAL
- [15] Wolberg G. , Digital Image Warping , Wiley-IEEE Computer Society Press , 1990 . EXTERNAL
- [2] Blinn J. , “Return of the Jaggy,” IEEE Computer Graphics & Applications , pp. 82 – 89 , March 1989 . EXTERNAL
- [3] Dainty J.C. Shaw R. , Image Science , Academic Press, Inc. , London , 1976 . EXTERNAL
- [4] Glassner A.S. , Graphics Gems , Academic Press, Inc. , San Diego, CA , 1990 . EXTERNAL
- [6] Kriss M. , “Tradeoff Between Aliasing Artifacts and Sharpness in Assessing Image Quality,” IS&T PICS Conference , 1998 . EXTERNAL
- [7] Machiraju R. Yagel R. , “Reconstruction Error Characterization and Control: A Sampling Theory Approach,” IEEE Trans. On Visualization and Computer Graphics , pp. 364 – 378 , Vol. 2 , December 1996 . EXTERNAL
- [8] Mitchell D.P. Netravali A.N. , “Reconstruction Filters in Computer Graphics,” Computer Graphics , pp. 221 – 228 , Vol. 22 , August 1988 . EXTERNAL
- [9] Morton R. DuMont C. Maurer M. , “An Introduction to Aliasing and Sharpening in Digital Motion Picture Systems,” SMPTE Motion Imaging Journal , Vol. 112 , May/June 2003 . EXTERNAL
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Gabriel Fielding, Ryan Hsu, Paul Jones, and Chris DuMont; Aliasing and Reconstruction Distortion in Digital Intermediates, SMPTE Meetings and Conferences ( November 2005); SMPTE, 2005. Available at https://doi.org/10.5594/M00402
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Gabriel Fielding, Ryan Hsu, Paul Jones, and Chris DuMont; Aliasing and Reconstruction Distortion in Digital Intermediates, SMPTE Meetings and Conferences ( November 2005); SMPTE, 2005. Available at https://doi.org/10.5594/M00402
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Gabriel Fielding, Ryan Hsu, Paul Jones, and Chris DuMont; Aliasing and Reconstruction Distortion in Digital Intermediates, SMPTE Meetings and Conferences ( November 2005); SMPTE, 2005. Available at https://doi.org/10.5594/M00402
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<span class="citation">Gabriel Fielding, Ryan Hsu, Paul Jones, and Chris DuMont; <cite>Aliasing and Reconstruction Distortion in Digital Intermediates</cite>, SMPTE Meetings and Conferences ( November 2005); SMPTE, 2005. Available at <a href="https://doi.org/10.5594/M00402" target="_blank" rel="noopener">https://doi.org/10.5594/M00402</a></span>
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Gabriel Fielding, Ryan Hsu, Paul Jones, and Chris DuMont; Aliasing and Reconstruction Distortion in Digital Intermediates, SMPTE Meetings and Conferences ( November 2005); SMPTE, 2005
doi: 10.5594/M00402
url: https://doi.org/10.5594/M00402
doi: 10.5594/M00402
url: https://doi.org/10.5594/M00402
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<li> Gabriel Fielding, Ryan Hsu, Paul Jones, and Chris DuMont; <cite id="bib-10-5594-m00402">Aliasing and Reconstruction Distortion in Digital Intermediates</cite>, SMPTE Meetings and Conferences ( November 2005); SMPTE, 2005 <span class="doi">10.5594/M00402</span> </li>