Hybrid image compression technique using oscillation concept & quasi fractal
| Autor: | Bhavani Sridharan, Satyawati S. Magar |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
020205 medical informatics
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Biomedical Engineering Bioengineering Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Lossy compression Applied Microbiology and Biotechnology 03 medical and health sciences 0302 clinical medicine Compression (functional analysis) 0202 electrical engineering electronic engineering information engineering Computer vision 030212 general & internal medicine Lossless compression Hybrid image business.industry Hybrid algorithm Thresholding ComputingMethodologies_PATTERNRECOGNITION Compression ratio Artificial intelligence business Biotechnology Image compression |
| Zdroj: | Health and Technology. 10:313-320 |
| ISSN: | 2190-7196 2190-7188 |
| DOI: | 10.1007/s12553-018-00282-4 |
| Popis: | In medical images, especially for brain images ROI is very important for diagnosis. ROI is very important compare to other portion of an image. Here ROI is included in hybrid coding algorithm for effective image compression. Compression method gives better results using hybrid algorithm. In this paper, we have used hybrid compression method, Lossless used for ROI portion and for non-ROI portion the lossy compression techniques has been used. The experimental results shows that better Compression Ratio (CR) with acceptable PSNR has been achieved using hybrid technique based on Morphological band pass filter and Adaptive thresholding for ROI. |
| Databáze: | OpenAIRE |
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