Vision enhanced for human- and machine-kind
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109 дней – 2460:44Популярные
33 дня – 2691:47Опубликовано 8 января 2024, 12:00
Images compressed with neural network-based codecs are often plagued with checkerboard artifacts, degrading picture quality for human, if not machine, eyes. In steps a new codec fine-tuning technique to remove these problematic artifacts, enhancing details for humans and retaining machine performance at no extra cost. Discover how every vision can benefit from this technique.
Set your sights on clearer end-to-end coded images in the whitepaper by Nam Le, Honglei Zhang, Francesco Cricri, Ramin G. Youvalari, Hamed R. Tavakoli, Emre Aksu, Miska M. Hannuksela and Esa Rahtu.
ieeexplore.ieee.org/document/9897916
Set your sights on clearer end-to-end coded images in the whitepaper by Nam Le, Honglei Zhang, Francesco Cricri, Ramin G. Youvalari, Hamed R. Tavakoli, Emre Aksu, Miska M. Hannuksela and Esa Rahtu.
ieeexplore.ieee.org/document/9897916
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