High-resolution images from low-resolution compressed video

C. Andrew Segall; Rafael Molina; Aggelos K. Katsaggelos

doi:10.1109/MSP.2003.1203208

High-resolution images from low-resolution compressed video

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

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

99 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 language	English (US)
Pages (from-to)	37-48
Number of pages	12
Journal	IEEE Signal Processing Magazine
Volume	20
Issue number	3
DOIs	https://doi.org/10.1109/MSP.2003.1203208
State	Published - May 2003

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/MSP.2003.1203208

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title = "High-resolution images from low-resolution compressed video",

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.",

author = "Segall, {C. Andrew} and Rafael Molina and Katsaggelos, {Aggelos K.}",

note = "Funding Information: The work of Segall and Katsaggelos was supported in part by the Motorola Center for Communications, Northwestern University, while the work of Molina was supported by the “Comision Nacional de Ciencia y Tecnologia” under contract TIC2000-1275.",

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language = "English (US)",

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AU - Katsaggelos, Aggelos K.

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N2 - 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.

AB - 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.

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High-resolution images from low-resolution compressed video

Abstract

ASJC Scopus subject areas

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