No-Reference Quality Assessment of an Image Resizing Algorithms

Authors

  • David G. Asatryan Institute for Informatics and Automation Problems of NAS RA

DOI:

https://doi.org/10.51408/1963-0044

Keywords:

Image resizing, Interpolation, Blur, Quality assessment, Gradient magnitude, Weibull distribution

Abstract

In this paper, a No-Reference method is proposed for quality assessment of an image resizing methods based on interpolation algorithms. Quality refers to the image blur. To this end, it is proposed to use a previously developed measure based on a statistical assessment of the Weibull distribution shape parameter, adopted as a model for gradient magnitude of an image. The results of numerical experiments are presented that allow us to evaluate and compare the quality of various image resizing algorithms.

References

A. Parker, R. V. Kenyon and D. Troxel, “Comparison of interpolating methods for image sampling”, IEEE Transactions on Medical Imaging, vol. M1-2, no. 1, p. 31-39, 1983.

Z.Wang, A.C.Bovik, “Modern image quality assessment”,Synthesis Lectures on Image, Video, and Multimedia Processing,vol. 2, no. 1, pp. 1–156, 2006.

D.Asatryan, K. Egiazarian,‘Quality assessment measure based on image structural properties”,Proc. of the International Workshop on Local and Non-Local Approximation in Image Processing, Finland, Helsinki, 19-21 August, pp. 70-73, 2009.

W.Xue,L.Zhang, X.Mou and A.C. Bovik, “Gradient magnitude similarity deviation: A highly efficient perceptual image quality index”,IEEE Transactions on Image Processing, vol. 23, no. 2, pp.684-695, 2014.

O.Sebastian and S.Arkadiusz,”The survey of subjective and objective methods for quality assessment of 2D and 3D images”, Theoretical and Applied Informatics,vol. 26,no. 1, 2, pp. 39 – 67, 2014.

В.В.Старовойтов и Ф.В. Старовойтов, “Сравнительный анализ безэталонных мер оценки качества цифровых изображений”, Системный анализ и прикладная информатика, № 1, сс. 24-32, 2017.

D.G.Asatryan, “Gradient-based technique for image structural analysis and applications”, Computer Optics, vol. 43, no. 2, pp. 245-250, 2019.

N.Ponomarenko, L. Jin, O. Ieremeiev, V. Lukin, K. Egiazarian, J. Astola, B.Vozel, K. Chehdi, Carli, F. Battisti, et al. “Image database TID2013: Peculiarities, results and perspectives”, Signal Processing: Image Communication,vol.30, pp. 57–77, 2015.

Д. Г.Асатрян, Оценивание степени размытости изображения путём анализа градиентного поля,Компьютерная оптика,вып. 41, №6, сс. 957-962,2017.

D. A. Asatryan, “Novel technique for no-reference image quality assessment”,Proceedings of International Conference on Computer Science and Information Technologies, Yerevan, Armenia,pp. 201-203, 2019.

Downloads

Published

2021-12-10

How to Cite

Asatryan , D. G. (2021). No-Reference Quality Assessment of an Image Resizing Algorithms. Mathematical Problems of Computer Science, 52, 54–60. https://doi.org/10.51408/1963-0044