Application of the motion vector constraint to the regularized enhancement of compressed video

C. A. Segall*, A. K. Katsaggelos

*Corresponding author for this work

Research output: Contribution to conferencePaper

Abstract

In this paper, we present a novel fidelity constraint for the image enhancement problem by exploiting the motion vectors of a compressed video bit-stream. These vectors establish a correspondence between image pixels across a series of frames, and our goal is to maintain this relationship during processing. In our past work, we considered algorithms that relied on the sum-of-absolute differences as the match criteria. As we show in this paper, this metric is problematic for the enhancement problem. We then pose the constraint within the context of a sum-of-squared errors criterion for matching. This allows for a more rigorous treatment of the fidelity constraint. Finally, experimental results illustrate the performance of the new constraint.

Original languageEnglish (US)
Pages646-649
Number of pages4
StatePublished - 2001
EventIEEE International Conference on Image Processing (ICIP) 2001 - Thessaloniki, Greece
Duration: Oct 7 2001Oct 10 2001

Other

OtherIEEE International Conference on Image Processing (ICIP) 2001
CountryGreece
CityThessaloniki
Period10/7/0110/10/01

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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  • Cite this

    Segall, C. A., & Katsaggelos, A. K. (2001). Application of the motion vector constraint to the regularized enhancement of compressed video. 646-649. Paper presented at IEEE International Conference on Image Processing (ICIP) 2001, Thessaloniki, Greece.