Robust dynamic super resolution under inaccurate motion estimation

Minjae Kim, Bonhwa Ku, Daesung Chung, Hyunhak Shin, Bonghyup Kang, David K. Han, Hanseok Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In image reconstruction, dynamic super resolution image reconstruction algorithms have been investigated to enhance video frames sequentially, where explicit motion estimation is considered as a major factor in the performance. This paper proposes a novel measurement validation method to attain robust image reconstruction results under inaccurate motion estimation. In addition, we present an effective scene change detection method dedicated to the proposed super resolution technique for minimizing erroneous results when abrupt scene changes occur in the video frames. Representative experimental results show excellent performance of the proposed algorithm in terms of the reconstruction quality and processing speed.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010
PublisherIEEE Computer Society
Pages323-328
Number of pages6
ISBN (Print)9780769542645
DOIs
Publication statusPublished - 2010
Event2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010 - Boston, MA, United States
Duration: 2010 Aug 292010 Sept 1

Publication series

NameProceedings - IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010

Conference

Conference2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010
Country/TerritoryUnited States
CityBoston, MA
Period10/8/2910/9/1

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

Fingerprint

Dive into the research topics of 'Robust dynamic super resolution under inaccurate motion estimation'. Together they form a unique fingerprint.

Cite this