Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Alireza Esmaeilzehi"'
Publikováno v:
IEEE Access, Vol 6, Pp 59963-59974 (2018)
The features produced by the layers of a neural network become increasingly more sparse as the network gets deeper and consequently, the learning capability of the network is not further enhanced as the number of layers is increased. In this paper, a
Externí odkaz:
https://doaj.org/article/3187c51618a74f28bfd6d3e3804ee72b
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 69:1937-1941
The requirements of light-weight and low-power of portable devices in applications involving super resolution make it necessary to design the underlying algorithms with small number of parameters. In this paper, based on the idea of forward predictio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5e2ac8ab098cc9c812ade26e0700f07
https://doi.org/10.1109/tcsii.2021.3121667
https://doi.org/10.1109/tcsii.2021.3121667
Publikováno v:
IEEE Transactions on Artificial Intelligence. :1-15
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bc05af38619002ac19c0fca39ccc061
https://doi.org/10.1109/tai.2022.3224417
https://doi.org/10.1109/tai.2022.3224417
Publikováno v:
The Visual Computer.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee3402aa2281ba4b05ef8fd1833e059a
https://doi.org/10.1007/s00371-023-02835-9
https://doi.org/10.1007/s00371-023-02835-9
Publikováno v:
2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc2cb3cf73e1215b90a56cece71778df
https://doi.org/10.1109/mmsp55362.2022.9948963
https://doi.org/10.1109/mmsp55362.2022.9948963
Publikováno v:
IEEE Transactions on Broadcasting. 67:538-548
The physical process used in CCD cameras for image formation makes it imperative to simultaneously upsample and deblur the captured images. In this paper, we provide an efficient scheme to solve this problem through a nonlinear end-to-end mapping car
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92c3860365556a05a0f3bccce2c6ac21
https://doi.org/10.1109/tbc.2021.3068862
https://doi.org/10.1109/tbc.2021.3068862
Publikováno v:
IEEE Transactions on Computational Imaging. 7:409-421
Design of a residual block that provides a rich set of features while requiring only small numbers of parameters and operations is crucial for the task of single image super resolution. This is especially important in applications with limited power
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e6849e258d87c015813aa21cfb58c91
https://doi.org/10.1109/tci.2021.3070522
https://doi.org/10.1109/tci.2021.3070522
Publikováno v:
ISCAS
The design of ultralight-weight super-resolution convolutional neural networks capable of providing images with high visual quality is crucial in many real-world applications with limited power and storage capacity, such as mobile devices and portabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfb34cb28626d34b4a67f4d5d1a1d046
https://doi.org/10.1109/iscas51556.2021.9401641
https://doi.org/10.1109/iscas51556.2021.9401641
Publikováno v:
ISCAS
Morphological operations are nonlinear mathematical operations that are capable of performing signal processing tasks based on the structures and textures of the signals. With this motivation of the capability of morphological operations, in this pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdb7d4a7faf75c319d123cfadc8c7390
https://doi.org/10.1109/iscas51556.2021.9401522
https://doi.org/10.1109/iscas51556.2021.9401522
Publikováno v:
ISCAS
Deep convolutional networks provide very high quality super resolution images through a learning process by a nonlinear end-to-end mapping between low and high resolution images. Many of the state-of-the-art super resolution networks employ residual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78e46ec8790a84eeddd2b08d5cb12f64
https://doi.org/10.1109/iscas45731.2020.9180822
https://doi.org/10.1109/iscas45731.2020.9180822