Zobrazeno 1 - 10
of 21
pro vyhledávání: '"B. K. Shreyamsha Kumar"'
Publikováno v:
IEEE Access, Vol 11, Pp 45301-45312 (2023)
Wound care is a critical aspect of healthcare that involves treating and managing various types of wounds, typically caused by injuries, surgery, or chronic diseases such as diabetes. Chronic wounds can be particularly challenging to manage and often
Externí odkaz:
https://doaj.org/article/005cb4ce41d64d65aaa3caf53307c690
Publikováno v:
IEEE Access, Vol 6, Pp 73052-73067 (2018)
The success of correlation filters in visual tracking has attracted much attention in computer vision due to their high efficiency and performance. However, they are not equipped with a mechanism to cope with challenging situations like scale variati
Externí odkaz:
https://doaj.org/article/7d3c3a91da914b299cfcc682a78415dd
Publikováno v:
PLoS Digital Health; 11/06/2023, Vol. 2 Issue 11, p1-15, 15p
Publikováno v:
Multimedia Tools and Applications. 79:4525-4551
The sparse representation-based trackers has attracted much attention in the research community due to its superior performance in spite of its computational complexity. But the assumption that the coding residual follows either the Gaussian or the L
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b49c4f34eed6a54f6504fb0e3af140f8
https://doi.org/10.1007/s11042-019-7685-2
https://doi.org/10.1007/s11042-019-7685-2
Publikováno v:
Multimedia Tools and Applications. 78:7243-7266
In this paper, a structural local DCT sparse appearance model with occlusion detection is proposed for visual tracking in a particle filter framework. The energy compaction property of the 2D-DCT is exploited to reduce the size of the dictionary as w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70a3a012ba01ff4ce4e7efc042d7fd50
https://doi.org/10.1007/s11042-018-6453-z
https://doi.org/10.1007/s11042-018-6453-z
Autor:
B. K. Shreyamsha Kumar
Publikováno v:
Signal, Image and Video Processing. 9:1193-1204
Like bilateral filter (BF), cross bilateral filter (CBF) considers both gray-level similarities and geometric closeness of the neighboring pixels without smoothing edges, but it uses one image for finding the kernel and other to filter, and vice vers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b6b656ad8cb311fc3bdea32501bb499
https://doi.org/10.1007/s11760-013-0556-9
https://doi.org/10.1007/s11760-013-0556-9
Publikováno v:
ISCAS
The success of sparse representation, in face recognition and visual tracking, has attracted much attention in computer vision in spite of its computational complexity. These sparse representation-based methods assume that the coding residual follows
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27cac6a332ff844411a8c7da3bcb73d0
https://doi.org/10.1109/iscas.2016.7527408
https://doi.org/10.1109/iscas.2016.7527408
Publikováno v:
CCECE
The success of sparse representation, in face recognition and visual tracking, has attracted much attention in computer vision in spite of its computational complexity. However, these sparse representation-based methods often assume that the coding r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4c467c2b3e08bc6bff641a0237b3f30
https://doi.org/10.1109/ccece.2016.7726647
https://doi.org/10.1109/ccece.2016.7726647
Publikováno v:
Journal of Real-Time Image Processing. 10:551-559
The efficient transmission of images at low bit rate with high security has gained momentum due to recent explosion in networking and multimedia applications. Mixing several existing standard encryption techniques with image encoding tend to change t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::488d5bfc68a0216e4264028a24837e7c
https://doi.org/10.1007/s11554-012-0282-5
https://doi.org/10.1007/s11554-012-0282-5
Autor:
B. K. Shreyamsha Kumar
Publikováno v:
Signal, Image and Video Processing. 7:1211-1227
Non-local means filter uses all the possible self-predictions and self-similarities the image can provide to determine the pixel weights for filtering the noisy image, with the assumption that the image contains an extensive amount of self-similarity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07ca8f017fb988f4a9d496838ce068cd
https://doi.org/10.1007/s11760-012-0389-y
https://doi.org/10.1007/s11760-012-0389-y