Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Han-Ul Jang"'
Publikováno v:
Applied Sciences, Vol 8, Iss 6, p 911 (2018)
Several depth image-based rendering (DIBR) watermarking methods have been proposed, but they have various drawbacks, such as non-blindness, low imperceptibility and vulnerability to signal or geometric distortion. This paper proposes a template-based
Externí odkaz:
https://doaj.org/article/f43e062433e64800a2fff6875ee92004
Publikováno v:
Journal of the Korean Wood Science and Technology. 46:278-284
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3242b557bef7400e0c429905cc7c4c9
https://doi.org/10.5658/wood.2018.46.3.278
https://doi.org/10.5658/wood.2018.46.3.278
Publikováno v:
IEEE Signal Processing Letters. 25:278-282
Median filtering is used as an anti-forensic technique to erase processing history of some image manipulations such as JPEG, resampling, etc. Thus, various detectors have been proposed to detect median filtered images. To counter these techniques, se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2f6c9d1868e2e8c9eeeae8613330f57
https://doi.org/10.1109/lsp.2017.2782363
https://doi.org/10.1109/lsp.2017.2782363
Publikováno v:
IEEE Signal Processing Letters. 24:1808-1812
As technological developments have enabled high-quality fingerprint scanning, sweat pores, one of the Level 3 features of fingerprints, have been successfully used in automatic fingerprint recognition systems (AFRS). Since the pore extraction process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80a7d1dfd2a145e7b4bde1825ea319cc
https://doi.org/10.1109/lsp.2017.2761454
https://doi.org/10.1109/lsp.2017.2761454
Autor:
Jong-Uk Hou, Han-Ul Jang, Jeongho Son, Sunghee Choi, Heung-Kyu Lee, Hak-Yeol Choi, Dongkyu Kim
Publikováno v:
Multimedia Tools and Applications. 77:5685-5712
This paper presents a new approach to 3D mesh watermarking using consistent segmentation and mesh steganalysis. The method is blind, statistical, and highly robust to cropping attack. The primary watermarking domain is calculated by shape diameter fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69cdb5fd69580bef83b1e3cf0b5436f2
https://doi.org/10.1007/s11042-017-4483-6
https://doi.org/10.1007/s11042-017-4483-6
Publikováno v:
Multimedia Tools and Applications. 76:26695-26721
This paper proposes a novel anti-cropping blind 3D mesh watermarking method. Although there have been many mesh watermarking studies, methods with robustness to cropping attack are rare. Existing anti-cropping watermarking methods show only slight ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::849018f4252986f05a839f8086e29c80
https://doi.org/10.1007/s11042-016-4194-4
https://doi.org/10.1007/s11042-016-4194-4
Publikováno v:
Journal of Conservation Science. 32:203-213
대한민국역사박물관 소장 인력거의 보존처리를 진행하였다. 근ㆍ현대문화재인 인력거의 보존처리는 ‘의자부’, ‘덮개부’, ‘바퀴부’ 세부분으로 나누어 실시하였으며, 금속ㆍ목재ㆍ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0128a137c7c929ec1be67a81ebdbf7c4
https://doi.org/10.12654/jcs.2016.32.2.09
https://doi.org/10.12654/jcs.2016.32.2.09
Publikováno v:
Applied Sciences
Volume 8
Issue 6
Applied Sciences, Vol 8, Iss 6, p 911 (2018)
Volume 8
Issue 6
Applied Sciences, Vol 8, Iss 6, p 911 (2018)
Several depth image based rendering (DIBR) watermarking methods have been proposed, but they have various drawbacks, such as non-blindness, low imperceptibility, and vulnerability to signal or geometric distortion. This paper proposes a template base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0809c8bb2c448c099b62f94ea5df6895
Publikováno v:
Information Security Applications ISBN: 9783319935621
WISA
WISA
Previous digital image forensics focused on the low-level features that include traces of the image modifying history. In this paper, we present a framework to detect the manipulation of images through a contextual violation. First, we proposed a con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::743a5146a2dd367d113a508aff0c11ee
https://doi.org/10.1007/978-3-319-93563-8_2
https://doi.org/10.1007/978-3-319-93563-8_2
Autor:
Hak-Yeol Choi, Han-Ul Jang, Seung-Min Mun, Heung-Kyu Lee, Dongkyu Kim, Sunghee Choi, Jeongho Son
Publikováno v:
IWSSIP
In this paper, we propose a composite manipulation detection method based on convolutional neural networks (CNNs). To our best knowledge, this is the first work applying deep learning for composite forgery detection. The proposed technique defines th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44870564bbca16d9b318e47879eaa897
https://doi.org/10.1109/iwssip.2017.7965621
https://doi.org/10.1109/iwssip.2017.7965621