Super-resolution image reconstruction with edge adaptive weight in video sequence

Ji Yong Kwon, Du Sic Yoo, Jong Hyun Park, Se Hyeok Park, Moon Gi Kang

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

1 Citation (Scopus)

Abstract

Digital images and videos are used in many digital devices recently. Also, the resolution of display became larger than that of previous years. Image up-scaling algorithm is important issue since original input source is limited in transferring within data bandwidth. Among various up-scaling algorithms, Super-Resolution (SR) image reconstruction method is able to estimate high-resolution (HR) image using multiple low-resolution (LR) images. Conventional approaches to estimate HR image with Least Square (LS) method and Weighted Least Square (WLS) method are not able to reconstruct high-frequency region effectively in case its blur kernel is assumed Gaussian kernel in unknown system. Also, these methods produce jagging artifacts from the deficiency of LR frames. The proposed SR algorithm uses edge adaptive WLS method to reconstruct high-frequency region considering local properties and is applied to video sequence with block process to cope with local motions. Moreover, to apply video sequence with complex motions, we use selectively the correct information of reference frame to avoid errors from incorrect information. For accurate additional information from reference frames, the proposed algorithm determines additional information in reference frame by comparing with current frame and reference frame. The experiments demonstrate the superior performance of the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Image Processing
Subtitle of host publicationAlgorithms and Systems X; and Parallel Processing for Imaging Applications II
DOIs
Publication statusPublished - 2012
EventImage Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II - Burlingame, CA, United States
Duration: 2012 Jan 232012 Jan 25

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8295
ISSN (Print)0277-786X

Other

OtherImage Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II
CountryUnited States
CityBurlingame, CA
Period12/1/2312/1/25

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Kwon, J. Y., Yoo, D. S., Park, J. H., Park, S. H., & Kang, M. G. (2012). Super-resolution image reconstruction with edge adaptive weight in video sequence. In Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II [82950M] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8295). https://doi.org/10.1117/12.905368