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논문

Scalable image decomposition

등록일자 :

https://doi.org/10.1007/s00521-020-05677-x

  • 저자Hwanbok Mun,Jinjoo Song,Sang Min Yoon,윤강준
  • 학술지NEURAL COMPUTING & APPLICATIONS (0941-0643), 33, 9137 ~ 9151
  • 등재유형SCIE
  • 게재일자 20210126
This paper proposes a simple but effective end-to-end deep neural image decomposition network, which is called ’’scalable image decomposition’’, by decomposing and upscaling structure and texture images from the degraded input image at the same time.

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