Image quality assessment by upsampling methods based on spatial spectrum synthesis extrapolation

V. Yu Ignatyev, I. A. Matveev, A. B. Murynin, A. N. Trekin

Research output: Contribution to journalArticlepeer-review


The study tested two methods of image enhancement using spectral representations. The first approach is based on the assumption that the required information about the high spatial resolution details is obtained from the additional reference image. High-resolution image is constructed using a combination of spatial spectra of the main and reference images. The second approach does not require the use of additional external information (reference image). High-resolution image is synthesized by the analytic continuation of the original image spectrum to the region of high spatial frequencies. We carried out a study into the selection of a numerical measure of image similarity (difference) in the quality assessment problem. We found optimal parameters of spectral synthesis at a given spatial resolution and compared the results of quality assessment of the images enhanced by Lanczos interpolation and by developed methods with the optimal parameters.

Original languageEnglish
Pages (from-to)124-141
Number of pages18
JournalHerald of the Bauman Moscow State Technical University, Series Natural Sciences
Issue number1
Publication statusPublished - 2017
Externally publishedYes


  • Quality assessment
  • Spectral synthesis
  • Upsampling


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