Framework for fair objective performance evaluation of single-image super-resolution algorithms

Won Hee Kim, Jong Seok Lee

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Single-image super-resolution (SISR) is a technology to reconstruct a high-resolution image from a single low-resolution input image. The performance of SISR algorithms is usually evaluated by applying full-reference objective image quality assessment metrics. First, it is argued that the result of objective quality evaluation may become inconsistent with subjective quality assessment, depending on how the input low-resolution image is generated and how up-scaling during SISR is conducted. Since such inconsistency is due to subpixel-level misalignment between the original and output images, a framework is then proposed that compensates any spatial displacement between the two images and enables fair SISR performance evaluation using objective quality metrics.

Original languageEnglish
Pages (from-to)42-44
Number of pages3
JournalElectronics Letters
Issue number1
Publication statusPublished - 2015 Jan 8

Bibliographical note

Publisher Copyright:
© The Institution of Engineering and Technology 2015.

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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