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Lossless and Near-Lossless Compression for Mammographic Digital Images

2006 International Conference on Image Processing, 2006
In this paper, a method for lossless and near lossless compression of large digital mammograms is proposed. This method is based on a predictive coder that uses integer-to-integer operations, and generates a two-layer embedded bit stream (i.e. near-lossless and refinement layer). The maximum tolerated pixel distortion is guaranteed in the near lossless
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Efficiency of lossless data compression

2011
Data compression is important part of information and communication technologies. There are many benefits from using data compression, like saving space on hard drives or lowering use of transmission bandwidth in the network. There are also many algorithms and many tools that are used today in this field.
Kudelić, Robert   +2 more
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Multiband Lossless Compression of Hyperspectral Images

IEEE Transactions on Geoscience and Remote Sensing, 2009
Hyperspectral images exhibit significant spectral correlation, whose exploitation is crucial for compression. In this paper, we investigate the problem of predicting a given band of a hyperspectral image using more than one previous band. We present an information-theoretic analysis based on the concept of conditional entropy, which is used to assess ...
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Lossless volume compression for PACS

Journal of Telemedicine and Telecare, 1996
M M Reid, R J Millar, N D Black
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Lossless Compression

The Computer Journal, 1997
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Lossless Compression

2002
Khalid Sayood, Nasir Memon
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Regression Wavelet Analysis for Near-Lossless Remote Sensing Data Compression

IEEE Transactions on Geoscience and Remote Sensing, 2020
Sara Alvarez-Cortes   +2 more
exaly  

The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS

IEEE Transactions on Image Processing, 2000
M J Weinberger   +2 more
exaly  

Optimized Onboard Lossless and Near-Lossless Compression of Hyperspectral Data Using CALIC

IEEE Geoscience and Remote Sensing Letters, 2004
Enrico Magli, G Olmo
exaly  

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