Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Ayush Dogra"'
Autor:
Merouane Boudraa, Akram Bennour, Tahar Mekhaznia, Abdulrahman Alqarafi, Rashiq Rafiq Marie, Mohammed Al-Sarem, Ayush Dogra
Publikováno v:
Acta Informatica Pragensia, Vol 13, Iss 2, Pp 251-272 (2024)
The automated classification of historical document scripts holds profound implications for historians, providing unprecedented insights into the contexts of ancient manuscripts. This study introduces a robust deep learning system integrating an inte
Externí odkaz:
https://doaj.org/article/8dfd47e0274140a087f71ad6ba9a0125
Autor:
Bhawna Goyal, Ayush Dogra, Ammar Jalamneh, Dawa Chyophel Lepcha, Ahmed Alkhayyat, Rajesh Singh, Manob Jyoti Saikia
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Images captured in low-light environments are severely degraded due to insufficient light, which causes the performance decline of both commercial and consumer devices. One of the major challenges lies in how to balance the image enhancement
Externí odkaz:
https://doaj.org/article/1c399be01c0f4310b8290b267cbba44a
Autor:
Apoorav Maulik Sharma, Renu Vig, Ayush Dogra, Bhawna Goyal, Ahmed Alkhayyat, Vinay Kukreja, Manob Jyoti Saikia
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-29 (2024)
Abstract This manuscript introduces an innovative multi-stage image fusion framework that adeptly integrates infrared (IR) and visible (VIS) spectrum images to surmount the difficulties posed by low-light settings. The approach commences with an init
Externí odkaz:
https://doaj.org/article/050283a19fd34fa88ca6e5ca3ed9f72a
Publikováno v:
International Journal of Cognitive Computing in Engineering, Vol 3, Iss , Pp 90-97 (2022)
It is broadly recognized that conserving the essential geometrical features of an image is crucial while denoising it. To accomplish this aim, various denoising techniques have been represented in the literature. The technique based on dual way edge
Externí odkaz:
https://doaj.org/article/87a0c460df234b7485a5b4dbb277bb12
Autor:
Dawa Chyophel Lepcha, Ayush Dogra, Bhawna Goyal, Vishal Goyal, Vinay Kukreja, Durga Prasad Bavirisetti
Publikováno v:
PLoS ONE, Vol 18, Iss 9 (2023)
Externí odkaz:
https://doaj.org/article/de8a318221be4945816d787dcf3a6356
Publikováno v:
IEEE Access, Vol 5, Pp 16040-16067 (2017)
Image fusion is a well-recognized and a conventional field of image processing. Image fusion provides an efficient way of enhancing and combining pixel-level data resulting in highly informative data for human perception as compared with individual i
Externí odkaz:
https://doaj.org/article/7ab3da68a8854947a16fc4569fda169f
Publikováno v:
Information Fusion. 93:36-76
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8072c2a089f74dede8d3e5a17e90c464
https://doi.org/10.1016/j.inffus.2022.12.012
https://doi.org/10.1016/j.inffus.2022.12.012
Publikováno v:
Information Fusion. 91:230-260
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::218a7b4a3b542bdf959d24d02423950a
https://doi.org/10.1016/j.inffus.2022.10.007
https://doi.org/10.1016/j.inffus.2022.10.007
Publikováno v:
The Imaging Science Journal. 71:97-109
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aed8ad6c1e0bb1701754882bacfbc918
https://doi.org/10.1080/13682199.2023.2176809
https://doi.org/10.1080/13682199.2023.2176809
Material and textural features-based retrieval using feature similarity mapping for synthetic images
Publikováno v:
Materials Today: Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a835e2e821be50c38d11a7cc79f5696
https://doi.org/10.1016/j.matpr.2023.02.180
https://doi.org/10.1016/j.matpr.2023.02.180