Qualitative Rating of Lossy Compression for Aerial Imagery by Neutrosophic WASPAS Method

Autor: Giruta Kazakeviciute-Januskeviciene, Romualdas Bausys
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Physics and Astronomy (miscellaneous)
Image quality
Computer science
General Mathematics
0211 other engineering and technologies
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
Data_CODINGANDINFORMATIONTHEORY
Lossy compression
Set (abstract data type)
aerial imagery
lossy compression
qualitative evaluation
MCDM
WASPAS
neutrosophic set
Aerial photography
0202 electrical engineering
electronic engineering
information engineering
Computer Science (miscellaneous)
021101 geological & geomatics engineering
business.industry
lcsh:Mathematics
Pattern recognition
lcsh:QA1-939
Multiple-criteria decision analysis
Transmission (telecommunications)
Ranking
Chemistry (miscellaneous)
Compression ratio
020201 artificial intelligence & image processing
Artificial intelligence
business
Zdroj: Symmetry; Volume 13; Issue 2; Pages: 273
Symmetry, Vol 13, Iss 273, p 273 (2021)
ISSN: 2073-8994
DOI: 10.3390/sym13020273
Popis: The monitoring and management of consistently changing landscape patterns are accomplished through a large amount of remote sensing data using satellite images and aerial photography that requires lossy compression for effective storage and transmission. Lossy compression brings the necessity to evaluate the image quality to preserve the important and detailed visual features of the data. We proposed and verified a weighted combination of qualitative parameters for the multi-criteria decision-making (MCDM) framework to evaluate the quality of the compressed aerial images. The aerial imagery of different contents and resolutions was tested using the transform-based lossy compression algorithms. We formulated an MCDM problem dedicated to the rating of lossy compression algorithms, governed by the set of qualitative parameters of the images and visually acceptable lossy compression ratios. We performed the lossy compression algorithms’ ranking with different compression ratios by their suitability for the aerial images using the neutrosophic weighted aggregated sum product assessment (WASPAS) method. The novelty of our methodology is the use of a weighted combination of different qualitative parameters for lossy compression estimation to get a more precise evaluation of the effect of lossy compression on the image content. Our methodology includes means of solving different subtasks, either by altering the weights or the set of aspects.
Databáze: OpenAIRE
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