Paper
24 August 2001 Classical and neural methods of image sequence interpolation
Slawomir Skoneczny, Jaroslaw Szostakowski
Author Affiliations +
Abstract
An image interpolation problem is often encountered in many areas. Some examples are interpolation for coding/decoding process for transmission purposes, reconstruction a full frame from two interlaced sub-frames in normal TV or HDTV, or reconstruction of missing frames in old destroyed cinematic sequences. In this paper an overview of interframe interpolation methods is presented. Both direct as well as motion compensated interpolation techniques are given by examples. The used methodology can also be either classical or based on neural networks depending on demand of a specific interpolation problem solving person.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Slawomir Skoneczny and Jaroslaw Szostakowski "Classical and neural methods of image sequence interpolation", Proc. SPIE 4535, Optical Sensing for Public Safety, Health, and Security, (24 August 2001); https://doi.org/10.1117/12.438443
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CITATIONS
Cited by 1 scholarly publication and 3 patents.
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KEYWORDS
Motion estimation

Neural networks

Image transmission

Motion measurement

Ytterbium

Image interpolation

Image segmentation

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