Improved multi channel Up-sampling method for reconstruction based super-resolution

Seung Hoon Jee, Moon Gi Kang

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

Abstract

In reconstruction based super-resolution, it is an important issue to up-sample and to merge the high-frequency information contained in low-resolution images efficiently and without artifact. The conventional up-sampling methods, which used for registering low-resolution data to high-resolution grid, have the difference between them and ideal upsampling in observation modeling. In this paper, we analyze the difference and propose a new up-sampling and merging method which is able to incorporate low-resolution images without loss of the high frequency data and minimizes the artifact caused by data insufficiency. By this method, regions that the registered high frequency data do not cover are naturally regularized without using complex regularizers. The experimental results show that the choice of up-sampling significantly affects the quality of resulting images and the proposed up-sampling method gives better results compared with conventional simple up-sampling method.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Image Processing
Subtitle of host publicationAlgorithms and Systems XI
Volume8655
DOIs
Publication statusPublished - 2013 Jul 4
EventImage Processing: Algorithms and Systems XI - Burlingame, CA, United States
Duration: 2013 Feb 42013 Feb 6

Other

OtherImage Processing: Algorithms and Systems XI
CountryUnited States
CityBurlingame, CA
Period13/2/413/2/6

Fingerprint

Super-resolution
Sampling Methods
High-frequency Data
sampling
Sampling
image resolution
Image resolution
artifacts
Merging
High Resolution
Cover
Grid
Minimise
Experimental Results
Modeling
grids
high resolution

All Science Journal Classification (ASJC) codes

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

Cite this

Jee, S. H., & Kang, M. G. (2013). Improved multi channel Up-sampling method for reconstruction based super-resolution. In Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems XI (Vol. 8655). [86550S] https://doi.org/10.1117/12.2003294
Jee, Seung Hoon ; Kang, Moon Gi. / Improved multi channel Up-sampling method for reconstruction based super-resolution. Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems XI. Vol. 8655 2013.
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Jee, SH & Kang, MG 2013, Improved multi channel Up-sampling method for reconstruction based super-resolution. in Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems XI. vol. 8655, 86550S, Image Processing: Algorithms and Systems XI, Burlingame, CA, United States, 13/2/4. https://doi.org/10.1117/12.2003294

Improved multi channel Up-sampling method for reconstruction based super-resolution. / Jee, Seung Hoon; Kang, Moon Gi.

Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems XI. Vol. 8655 2013. 86550S.

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

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Jee SH, Kang MG. Improved multi channel Up-sampling method for reconstruction based super-resolution. In Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems XI. Vol. 8655. 2013. 86550S https://doi.org/10.1117/12.2003294