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


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
Publication statusPublished - 2013
EventImage Processing: Algorithms and Systems XI - Burlingame, CA, United States
Duration: 2013 Feb 42013 Feb 6

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


OtherImage Processing: Algorithms and Systems XI
Country/TerritoryUnited States
CityBurlingame, CA

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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