Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Levent Karacan"'
Autor:
Levent Karacan
Publikováno v:
IEEE Access, Vol 11, Pp 139466-139477 (2023)
Cameras are limited in their ability to capture all-in-focus images due to their limited depth of field. This results in blurriness for objects too far in front of or behind the focused point. To overcome this limitation, multi-focus image fusion (MF
Externí odkaz:
https://doaj.org/article/0da2c2b51f7244cca70cd7a49475c85a
Publikováno v:
Journal of Intelligent Systems with Applications. :8-11
In recent years, deep learning approach to solve the image and video processing problems have become very popular. Generative Adversarial Networks (GANs) are one of the most popular deep learning-based models. GANs form a generative model utilizing t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0914e93400c1aaa2990e14e845ac5ab7
https://doi.org/10.54856/jiswa.202205192
https://doi.org/10.54856/jiswa.202205192
Publikováno v:
Journal of Intelligent Systems with Applications. :153-156
Video stabilization is the process of eliminating unwanted camera movements and shaking in a recorded video. Recently, learning-based video stabilization methods have become very popular. Supervised learning-based approaches need labeled data. For th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c741cb94e5ba4786e9ceb1f15c4667cf
https://doi.org/10.54856/jiswa.202112185
https://doi.org/10.54856/jiswa.202112185
Publikováno v:
Journal of Intelligent Systems with Applications. :1-3
Image rendering is essential study field for computer science, robotics, and augmented reality. In the last decade, the increase in the graphics processing power of computers and the widespread use of deep learning networks have led to deep learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87507bfb60d37b34daa4dac84738ea01
https://doi.org/10.54856/jiswa.202205189
https://doi.org/10.54856/jiswa.202205189
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9599db86ffe5394b8fd822af26d4212
https://doi.org/10.1109/siu55565.2022.9864688
https://doi.org/10.1109/siu55565.2022.9864688
Autor:
Mehmet Sarıgül, Levent Karacan
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f79d5ba07e8ee12ba2de449ab47a719e
https://doi.org/10.2139/ssrn.4105115
https://doi.org/10.2139/ssrn.4105115
Autor:
Mehmet Sarigul, Levent Karacan
Publikováno v:
Journal of Intelligent Systems with Applications. :90-92
Since the invention of cameras, video shooting has become a passion for human. However, the quality of videos recorded with devices such as handheld cameras, head cameras, and vehicle cameras may be low due to shaking, jittering and unwanted periodic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b2f6b4d9bda770ada0ef539010a03c7
https://doi.org/10.54856/jiswa.202012125
https://doi.org/10.54856/jiswa.202012125
Publikováno v:
ACM Transactions on Graphics. 39:1-17
In this study, we explore building a two-stage framework for enabling users to directly manipulate high-level attributes of a natural scene. The key to our approach is a deep generative network which can hallucinate images of a scene as if they were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37d49e9ad26e80184a359963d4f909b3
https://doi.org/10.1145/3368312
https://doi.org/10.1145/3368312
Publikováno v:
IEEE Transactions on Medical Imaging
Acquiring images of the same anatomy with multiple different contrasts increases the diversity of diagnostic information available in an MR exam. Yet, the scan time limitations may prohibit the acquisition of certain contrasts, and some contrasts may
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3daa9341b1e885e1e9692c74f5b0c48
https://pubmed.ncbi.nlm.nih.gov/30835216
https://pubmed.ncbi.nlm.nih.gov/30835216
Publikováno v:
SIU
Finding location of a photograph is a challenging computer vision problem. In this paper, different deep learning models which finds the city where a photo was taken were studied for the cities of Turkey first time. For this purpose, a new dataset in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::523fa50c8b7bd04d5778993f45a6dba0
https://doi.org/10.1109/siu.2018.8404530
https://doi.org/10.1109/siu.2018.8404530