Showing 3 open source projects for "ndoc-enhanced"

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    satellite-image-deep-learning

    satellite-image-deep-learning

    Resources for deep learning with satellite & aerial imagery

    This page lists resources for performing deep learning on satellite imagery. To a lesser extent classical Machine learning (e.g. random forests) are also discussed, as are classical image processing techniques. Note there is a huge volume of academic literature published on these topics, and this repository does not seek to index them all but rather list approachable resources with published code that will benefit both the research and developer communities. If you find this work useful...
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  • 2
    JPedal JBIG2 Image Decoder

    JPedal JBIG2 Image Decoder

    A JBIG2 decoder written for Java under a BSD license

    ...The decoder takes the JBIG2 image processing technology developed for the JPedal PDF renderer in 2007 and makes it available as a generic library for more general usage. The JDeli Image Library https://www.idrsolutions.com/jdeli contains a much enhanced and faster version and also provides a complete ImageIO replacement (see https://www.idrsolutions.com/jdeli/imageio-replacement) for Tiff, JPEG, JPEG2000, Png as well as lots of other image formats including Dicom, WMF, PSD, SGI and WebP.
    Downloads: 1 This Week
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  • 3
    Java classes and packages for digital image processing under ImageJ using the Colt Java API, and an enhanced Plugins Control Panel for ImageJ
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