Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Changhoon Yim"'
Autor:
Hyeongmyeon Kim, Changhoon Yim
Publikováno v:
IEEE Access, Vol 12, Pp 57741-57754 (2024)
This paper presents an efficient deep-learning model named Swin Transformer fusion network (STFN) for full-reference image quality assessment (FR-IQA). The STFN model uses the first and second stages of the Swin Transformer for feature extraction. To
Externí odkaz:
https://doaj.org/article/96e2fed820b24fa19bc0f915291451df
Publikováno v:
IEEE Access, Vol 12, Pp 40622-40633 (2024)
An invertible Bloom filter (IBF) is a useful data structure for various network applications because the difference IBF (d-IBF) of two IBFs programmed by two separate sets effectively identifies distinct elements unique to each set. d-IBF eliminates
Externí odkaz:
https://doaj.org/article/3c664e02fb794e5cb2939a867e100cc9
Publikováno v:
Electronics Letters, Vol 57, Iss 1, Pp 16-20 (2021)
Abstract The atmospheric scattering model includes two crucial parameters for dehazing: global atmospheric light and the transmission map. Most previous dehazing methods need to obtain these two parameters separately, which makes dehazing a difficult
Externí odkaz:
https://doaj.org/article/586a804a12df473c853446ede09354c3
Publikováno v:
IEIE Transactions on Smart Processing & Computing. 11:343-350
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7632cd286a14a4804a39a56d87fff225
https://doi.org/10.5573/ieiespc.2022.11.5.343
https://doi.org/10.5573/ieiespc.2022.11.5.343
Autor:
Hyeongyeom Ahn, Changhoon Yim
Publikováno v:
Applied Sciences, Vol 10, Iss 6, p 1959 (2020)
In this paper, we propose a deep learning method with convolutional neural networks (CNNs) using skip connections with layer groups for super-resolution image reconstruction. In the proposed method, entire CNN layers for residual data processing are
Externí odkaz:
https://doaj.org/article/b9c2c4c3c4794f86b61fe99f71116842
Autor:
Changhoon Yim, Yejin Kim
Publikováno v:
IEIE Transactions on Smart Processing & Computing. 10:75-83
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1c9be29fde4e000512085b24b4b3802
https://doi.org/10.5573/ieiespc.2021.10.2.075
https://doi.org/10.5573/ieiespc.2021.10.2.075
Publikováno v:
Electronics Letters, Vol 57, Iss 1, Pp 16-20 (2021)
The atmospheric scattering model includes two crucial parameters for dehazing: global atmospheric light and the transmission map. Most previous dehazing methods need to obtain these two parameters separately, which makes dehazing a difficult and ill
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::159d7031fc096eaefd5a666abc65b0e2
https://doi.org/10.1049/ell2.12035
https://doi.org/10.1049/ell2.12035
Publikováno v:
IEEE Communications Letters. 24:2123-2127
Key–value data structures have been extensively used in various applications. When a large amount of data needs to be compactly stored in a fixed memory size, a functional Bloom filter is a space-efficient key–value structure. In this letter, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26f37388ee7c1ac753c58b3bf380b180
https://doi.org/10.1109/lcomm.2020.3003695
https://doi.org/10.1109/lcomm.2020.3003695
Autor:
Byungjin Chung, Changhoon Yim
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 30:1535-1549
This paper proposes a novel video error concealment method for the reconstruction of all unknown regions in frames. The proposed method first performs temporal error concealment (TEC) sequentially in forward direction with the propagation of source i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ce9d3cdb48217f41a5756c158956dad
https://doi.org/10.1109/tcsvt.2019.2909564
https://doi.org/10.1109/tcsvt.2019.2909564
Publikováno v:
IEIE Transactions on Smart Processing & Computing. 8:255-264
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::106b84165e550a0e5134522aa46e04dc
https://doi.org/10.5573/ieiespc.2019.8.4.255
https://doi.org/10.5573/ieiespc.2019.8.4.255