Wavelet-Based Far Infrared Medical Image Compression with Histogram Shifting

Wavelet-Based Far Infrared Medical Image Compression with Histogram Shifting

A near-lossless compression algorithm for far infrared medical image is proposed based on lifting wavelet transform and histogram shifting. The algorithm can losslessly compress the data in the human body area with integrating the source data and normalizing the useless background (lossy). Experimen...

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Bibliographische Detailangaben
Hauptverfasser: Li, Wenming, Wu, Xiaojuan, Zhang, Yuanyuan, Yu, Mengsun
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Biomedical imaging
Histograms
Humans
Image coding
Infrared imaging
Lenses
Medical diagnostic imaging
Pixel
Temperature distribution
Wavelet transforms
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Beschreibung
Zusammenfassung:A near-lossless compression algorithm for far infrared medical image is proposed based on lifting wavelet transform and histogram shifting. The algorithm can losslessly compress the data in the human body area with integrating the source data and normalizing the useless background (lossy). Experiment results show that it is an effective algorithm compared with JPEG-LS and can compress the image more than 6 times without affecting clinical diagnostics.
ISSN:2151-7614
2151-7622
DOI:10.1109/ICBBE.2007.265