Quality Assessment of Resampled Digital Images by Statistical Metrics | Zendy

W. Korneta | Zendy

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Quality Assessment of Resampled Digital Images by Statistical Metrics

Author(s) -

W. Korneta

Publication year - 2017

Publication title -

edukacja – technika – informatyka

Language(s) - English

Resource type - Journals

eISSN - 2450-9221

pISSN - 2080-9069

DOI - 10.15584/eti.2017.3.40

Subject(s) - grayscale , luminance , contrast (vision) , image quality , artificial intelligence , index (typography) , computer science , pattern recognition (psychology) , statistics , computer vision , mathematics , image (mathematics) , world wide web

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.

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