Aliasing and Reconstruction Distortion in Digital Intermediates

Metadata

Publisher: SMPTE — White Plains, NY, USA
Doc Type: Journal Article
Content Type: Original Research
Abbreviated Title: SMPTE Mot. Imag. J
Volume: 115, No. 4, pp. 128–136
Abstract: This paper addresses 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 of 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 to 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 nonideal 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.
Publication Date: 2006-04-01
DOI: 10.5594/J12252
ISSN: Print: 1545-0279 | Electronic: 2160-2492
Link: https://doi.org/10.5594/J12252
Author(s): Gabriel Fielding
bio
Gabriel Fielding is a research scientist in the Entertainment Imaging Division of the Eastman Kodak Co. where he develops algorithms for motion estimation and image sequence enhancement in post-production workflows for film and television. Fielding received a PhD from Drexel University in Philadelphia, for research on the fusion of stereo and motion image analysis. He is the author of several journal articles on stereo image reconstruction and his current research interests include pattern recognition and parallel/distributed algorithms for high-speed image processing.
Ryan Hsu
bio
Ryan T. Hsu is a systems engineer at Kodak. He holds BS and ME degrees from Cornell University, both in electrical and computer engineering. His interests are in the field of image and video processing and compression. Hsu's recent projects have involved video compression codec development, construction of high-speed noise reduction algorithms, and firmware development for advanced color processing.
Paul Jones
bio
Paul W. Jones is a senior principal scientist with Eastman Kodak Co. He received BS and MS degrees in imaging science from Rochester Institute of Technology and an MS degree in electrical engineering from Rensselaer Poytechnic Institute. Jones has over 20 years of experience in developing digital image processing solutions for still-frame and video applications. Jones' primary activities have focused on designing and implementing algorithms for image compression and watermarking, and he holds 23 patents in those fields. His current work includes optimizing JPEG2000 for Digital Cinema. He is co-author of the textbook Digital Image Compression Techniques , as well as several book chapters on compression.
Christopher DuMont
bio
Christopher L. DuMont , a SMPTE Fellow, is R&D manager for entertainment imaging, image science and systems engineering at Kodak. He has a BS in imaging science from the Rochester Institute of Technology (RIT), and an MS in analytical chemistry, also from RIT. DuMont has worked at Kodak for 20 years and in motion picture systems studies for the last 18 years, developing new negative, intermediate, hybrid, and digital products for use in the motion picture industry. He recently contributed in the systems design of the new Kodak Color Management systems. DuMont has authored and presented at numerous SMPTE conferences. He was a co-recipient of the SMPTE Journal Award in 2003 and 2004. DuMont holds nine patents in the motion picture imaging science field for Kodak.
Copyright: © 2006 Society of Motion Picture and Television Engineers, Inc.

Bibliographic Reference(s)

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Gabriel Fielding, Ryan Hsu, Paul Jones, and Christopher DuMont; Aliasing and Reconstruction Distortion in Digital Intermediates, SMPTE Motion Imaging Journal ( Volume: 115, Issue: 4, April 2006); SMPTE, 2006. Available at https://doi.org/10.5594/J12252

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Gabriel Fielding, Ryan Hsu, Paul Jones, and Christopher DuMont; Aliasing and Reconstruction Distortion in Digital Intermediates, SMPTE Motion Imaging Journal ( Volume: 115, Issue: 4, April 2006); SMPTE, 2006. Available at https://doi.org/10.5594/J12252

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<span class="citation">Gabriel Fielding, Ryan Hsu, Paul Jones, and Christopher DuMont; <cite>Aliasing and Reconstruction Distortion in Digital Intermediates</cite>, SMPTE Motion Imaging Journal ( Volume: 115, Issue: 4, April 2006); SMPTE, 2006. Available at <a href="https://doi.org/10.5594/J12252" target="_blank" rel="noopener">https://doi.org/10.5594/J12252</a></span>

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Gabriel Fielding, Ryan Hsu, Paul Jones, and Christopher DuMont; <cite id="bib-10-5594-j12252">Aliasing and Reconstruction Distortion in Digital Intermediates</cite>, SMPTE Motion Imaging Journal ( Volume: 115, Issue: 4, April 2006); SMPTE, 2006
<span class="doi">10.5594/J12252</span>
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