High-resolution images from low-resolution compressed video

C. Andrew Segall*, Rafael Molina, Aggelos K. Katsaggelos

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

93 Scopus citations

Abstract

The technique for high-resolution images from low-resolution compressed video was presented. The video compression methods represented images with a sequence of motion vectors and transform coefficients. It was found that the difference between the estimate and the original frame resulted in the displaced frame difference which was transformed with the discrete cosine transform (DCT) and quantized by the encoder.

Original languageEnglish (US)
Pages (from-to)37-48
Number of pages12
JournalIEEE Signal Processing Magazine
Volume20
Issue number3
DOIs
StatePublished - May 2003

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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