Spatially adaptive image compression using a tiled deep network

International Conference on Image Processing 2017 Deep neural networks represent a powerful class of function approximators that can learn to compress and reconstruct images. Existing image compression algorithms based on neural networks learn quantized representations with a constant spatial bit ra...

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Hauptverfasser:	Minnen, David, Toderici, George, Covell, Michele, Chinen, Troy, Johnston, Nick, Shor, Joel, Hwang, Sung Jin, Vincent, Damien, Singh, Saurabh
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
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