A new SAR image compression quality metric
| Autor: | L.C.D.R. Robert, W. Ives, P. Eichel, N. Magotra |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Synthetic aperture radar
Pixel Computer science Image quality business.industry fungi ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Data_CODINGANDINFORMATIONTHEORY body regions Speckle pattern Signal-to-noise ratio (imaging) Radar imaging Compression (functional analysis) Metric (mathematics) Computer vision Artificial intelligence skin and connective tissue diseases business Image compression Data compression |
| Zdroj: | 42nd Midwest Symposium on Circuits and Systems (Cat. No.99CH36356). |
| DOI: | 10.1109/mwscas.1999.867839 |
| Popis: | Common image quality metrics (NLSE, SNR) do not consistently evaluate information loss in compression in the same way as the human eye. This is especially true for speckled SAR imagery. This paper presents a correlation based metric which provides improved local and global measures of SAR image compression quality. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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