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A Hybrid Quality Metric for Non-Integer Image Interpolation

  • Jinling Chen
  • , Yiwen Xu
  • , Kede Ma
  • , Huiwen Huang
  • , Tiesong Zhao*
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

A great need of High-Resolution (HR) images has boosted the development of interpolation techniques. However, it is still a challenging task to objectively evaluate the perceptual quality of interpolated images, especially when the interpolation factor is a non-integer. To address this issue, we propose a hybrid quality metric for non-integer image interpolation that combines both reduced-reference and no-reference philosophies. To validate the proposed metric, we construct a non-integer interpolated image database and conduct a subjective user study to collect subjective opinions for each image. Experiments on the new database show that the proposed metric outperforms previous methods by a large margin. © 2018 IEEE.
Original languageEnglish
Title of host publication2018 10th International Conference on Quality of Multimedia Experience, QoMEX 2018
PublisherIEEE
ISBN (Electronic)9781538626054
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event10th International Conference on Quality of Multimedia Experience, QoMEX 2018 - Cagliari, Italy
Duration: 29 May 2018 → 1 Jun 2018

Publication series

NameInternational Conference on Quality of Multimedia Experience, QoMEX
PublisherIEEE
ISSN (Electronic)2472-7814

Conference

Conference10th International Conference on Quality of Multimedia Experience, QoMEX 2018
PlaceItaly
CityCagliari
Period29/05/18 → 1/06/18

Research Keywords

  • high-resolution images
  • image interpolation
  • Image quality assessment
  • perceptual image processing

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