Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Pradeep, Karn"'
Publikováno v:
Multimedia Tools and Applications. 79:31783-31801
Iris images collected under different conditions often suffer from specular reflections, cast shadows, motion blur, defocus blur, occlusion caused by eyelashes and eyelids, eyeglasses, hair and other artifacts. Existing iris recognition systems do no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d091aeab07219738de888ee1c8afdf9
https://doi.org/10.1007/s11042-020-09553-7
https://doi.org/10.1007/s11042-020-09553-7
Publikováno v:
Journal of Electronic Imaging. 30
In recent years, to save bandwidth and storage space, images are usually compressed to reduce data volume, which leads to the loss of image details and affects the super-resolution (SR) performance. SR of compressed images is a key technique for addr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bec8c92f22fd863d5d91cfb9c9620e0
https://doi.org/10.1117/1.jei.30.3.033006
https://doi.org/10.1117/1.jei.30.3.033006
Publikováno v:
UCET
Nowadays, the mainstream video coding standard H.265/HEVC has achieved excellent compression performance, but it still can not match the increase of huge amount of data. In order to further optimize intra prediction of HEVC, we proposed an iterative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::650e636aa85c429b9625734a9102ef25
https://doi.org/10.1109/ucet51115.2020.9205375
https://doi.org/10.1109/ucet51115.2020.9205375
Publikováno v:
UCET
The emergence of generative adversarial network (GAN) promotes the great progress of deep learning generation model. In this paper, generative adversarial network is used to remove the visual artifact of compressed video, and a visual perception enha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f95e2dba0a44b77e14a7a3f7943ac78
https://doi.org/10.1109/ucet51115.2020.9205459
https://doi.org/10.1109/ucet51115.2020.9205459
Publikováno v:
Signal Processing: Image Communication. 96:116283
To save bandwidth and storage space as well as speed up data transmission, people usually perform lossy compression on images. Although the JPEG standard is a simple and effective compression method, it usually introduces various visually unpleasing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d6039b9f35db611a010c9bf30c63d1b
https://doi.org/10.1016/j.image.2021.116283
https://doi.org/10.1016/j.image.2021.116283
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :2263-2266
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3daa67edd7ed447370d4d0e86a5a70ba
https://doi.org/10.1587/transfun.e98.a.2263
https://doi.org/10.1587/transfun.e98.a.2263
Publikováno v:
Telecommunication Engineering; 1/28/2020, Vol. 60 Issue 1, p81-86, 6p
Publikováno v:
Telecommunication Engineering; 10/28/2019, Vol. 59 Issue 10, p1208-1214, 7p
Publikováno v:
Journal of Electronic Imaging. 23:063002
Iris images acquired under different conditions often suffer from blur, occlusion due to eyelids and eyelashes, specular reflection, and other artifacts. Existing iris recognition systems do not perform well on these types of images. To overcome thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::faa79a3cb6eae94da46ba79edc613625
https://doi.org/10.1117/1.jei.23.6.063002
https://doi.org/10.1117/1.jei.23.6.063002