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pro vyhledávání: '"Liu, Yun-Fu"'
Existing learning-based atmospheric particle-removal approaches such as those used for rainy and hazy images are designed with strong assumptions regarding spatial frequency, trajectory, and translucency. However, the removal of snow particles is mor
Externí odkaz:
http://arxiv.org/abs/1708.04512
Akademický článek
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Autor:
Liu, Yun-Fu, Guo, Jing-Ming
Compared to the error diffusion, dot diffusion provides an additional pixel-level parallelism for digital halftoning. However, even though its periodic and blocking artifacts had been eased by previous works, it was still far from satisfactory in ter
Externí odkaz:
http://arxiv.org/abs/1508.05373
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In Cancer Letters 1 July 2012 320(1):40-47