A new adaptive linear interpolation algorithm using pattern weight based on inverse gradient

Joohyeok Kim, Jechang Jeong

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

4 Scopus citations

Abstract

Most of conventional interpolation methods do not consider the sufficient pattern of neighbor pixels, which cause quality degradation. Kim et al. proposed New Adaptive Linear (NAL) algorithm to consider patterns near the interpolated value [8]. However, they have a critical defect which does not reflect whether each neighbor pixels influence the interpolated pixel. To remove this defect, we propose a new image interpolation method using adaptive weight based on inverse gradient. Experimental results show that the proposed algorithm exhibits a better performance than conventional algorithms in both objective and subjective criteria with a variety of images. In addition, the proposed method just needs a little computational burden compared with other algorithms.

Original languageEnglish
Title of host publicationProceedings - 2009 1st International Conference on Advances in Multimedia, MMEDIA 2009
Pages58-61
Number of pages4
DOIs
Publication statusPublished - 2009 Nov 20
Event2009 1st International Conference on Advances in Multimedia, MMEDIA 2009 - Colmar, France
Duration: 2009 Jul 202009 Jul 25

Publication series

NameProceedings - 2009 1st International Conference on Advances in Multimedia, MMEDIA 2009

Other

Other2009 1st International Conference on Advances in Multimedia, MMEDIA 2009
CountryFrance
CityColmar
Period09/07/2009/07/25

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Keywords

  • Linear interpolation

Cite this

Kim, J., & Jeong, J. (2009). A new adaptive linear interpolation algorithm using pattern weight based on inverse gradient. In Proceedings - 2009 1st International Conference on Advances in Multimedia, MMEDIA 2009 (pp. 58-61). [5206912] (Proceedings - 2009 1st International Conference on Advances in Multimedia, MMEDIA 2009). https://doi.org/10.1109/MMEDIA.2009.18