Image interpolation by using Gaussian regularized regression with cross-based window

Yang Ting Chou, Shu Huei Chiou, Jar Ferr Yang

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

Abstract

To increase resolutions, image interpolation has been widely investigated for several years. Especially, the interpolation techniques for super resolution televisions become more and more important since the most video programs are only with high definition. The linear-based interpolation algorithms bring out the jaggy noise conspicuously. Recently, the new edge-directed interpolation (NEDI) is proposed to improve the accuracy with one-fold training size for predicting parameters. In this paper, an image interpolation based on Gaussian regularized regression with cross-based window (GRR-CW) approach is proposed. The GRR-CW contains spatial confidence consideration and cross-based window generation to lead the prediction more reliable. In experimental results, we prove that the proposed GRR-CW can achieve higher image quality in PSNR and SSIM performances than the traditional linear-based and NEDI-based algorithms.

Original languageEnglish
Title of host publicationTENCON 2015 - 2015 IEEE Region 10 Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479986415
DOIs
Publication statusPublished - 2016 Jan 5
Event35th IEEE Region 10 Conference, TENCON 2015 - Macau, Macao
Duration: 2015 Nov 12015 Nov 4

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume2016-January
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Other

Other35th IEEE Region 10 Conference, TENCON 2015
CountryMacao
CityMacau
Period15-11-0115-11-04

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Chou, Y. T., Chiou, S. H., & Yang, J. F. (2016). Image interpolation by using Gaussian regularized regression with cross-based window. In TENCON 2015 - 2015 IEEE Region 10 Conference [7372960] (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2016-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2015.7372960