No-Reference Quality Assessment of an Image Resizing Algorithms
| Autor: | David G. Asatryan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Measure (data warehouse)
Quality assessment Computer science media_common.quotation_subject ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology 01 natural sciences Shape parameter Image (mathematics) 010309 optics 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Quality (business) Resizing Algorithm Interpolation Weibull distribution media_common |
| Zdroj: | Mathematical Problems of Computer Science. :54-60 |
| ISSN: | 2579-2784 |
| DOI: | 10.51408/1963-0044 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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