Quality Assessment of Resampled Digital Images by Statistical Metrics

• Authors: KORNETA WOJCIECH
• Languages of publication: EN

Abstracts

EN

The visual degradation of resampled (downsampled and then upsampled to the original size) greyscale digital images is quantified by local luminance, contrast and structure statistical comparison indexes. Spatial distributions of these indexes are shown. The global quality of resampled image is quantifiedby the similarity index defined by median values of local indexes. Parameters of this index consistent with the median opinion score are determined. The dependence of global indexes on the size of downsampled image is presented.

Keywords

EN

image quality; image resampling; similarity index

• Publisher: Uniwersytet Rzeszowski
• Journal: Edukacja-Technika-Informatyka
• Year: 2017
• Volume: 8
• Issue: 3
• Pages: 282-287

Dates

published

2017

Contributors

author

KORNETA WOJCIECH

• Państwowa Wyższa Szkoła Informatyki i Przedsiębiorczości w Łomży, Instytut Informatyki i Automatyki, Polska

References

• Pappas, T.N.R.J., Safranek, R.J., Chen, J. (2005). Perceptual Criteria for Image Quality Evaluation.
• In: A.C. Bovik (red.), Handbook of Image and Video Processing (p. 939–959). New York: Academic Press.
• Wang, Z. Bovik, A.C. (2002). A Universal Image Quality Index. IEEE Signal Processing Letters, 9, 81–84.
• Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P. (2004). Image Quality Assessment: From Error Visibility to Structural Similarity. IEEE Transactions on Image Processing, 13 (4), 600–612.

Identifiers

DOI

10.15584/eti.2017.3.40