Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Chudan Wu"'
Publikováno v:
IET Image Processing, Vol 14, Iss 11, Pp 2588-2596 (2020)
Deep neural networks have recently demonstrated high performance for deblurring. However, few methods are designed for both non‐uniform image blur estimation and removal with highly efficient. In this study, the authors proposed a fully convolution
Externí odkaz:
https://doaj.org/article/06b8b1894943490c8d7ef77ff75f6975
Publikováno v:
IET Image Processing, Vol 14, Iss 11, Pp 2588-2596 (2020)
Deep neural networks have recently demonstrated high performance for deblurring. However, few methods are designed for both non-uniform image blur estimation and removal with highly efficient. In this study, the authors proposed a fully convolutional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7244bfd956848f1d0380873805c84415
https://doaj.org/article/06b8b1894943490c8d7ef77ff75f6975
https://doaj.org/article/06b8b1894943490c8d7ef77ff75f6975
Publikováno v:
Signal Processing. 154:314-323
The widespread application of biometric recognition has emerged solid protection on the privacy of biometric templates. Non-invertible transformations such as random projections are popular solutions for this purpose, yet their security has been rece
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0092f434674c114d8b8b4f42d1d8d5a
https://doi.org/10.1016/j.sigpro.2018.09.013
https://doi.org/10.1016/j.sigpro.2018.09.013