Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Sheikh Rafiul Islam"'
Publikováno v:
IET Image Processing, Vol 15, Iss 2, Pp 393-404 (2021)
Abstract Compressed sensing (CS) or compressive sampling has shown an enormous potential to reconstruct a signal from its highly under‐sampled observations. A high dimensional image processing system can adopt the CS paradigm to reduce the storage
Externí odkaz:
https://doaj.org/article/3cb583c520a54f64b91998450df7d8a5
Publikováno v:
International Journal of Imaging Systems and Technology. 32:41-54
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1543059a059221297b7c066fb8e3ed48
https://doi.org/10.1002/ima.22651
https://doi.org/10.1002/ima.22651
Publikováno v:
IET Image Processing, Vol 15, Iss 2, Pp 393-404 (2021)
Compressed sensing (CS) or compressive sampling has shown an enormous potential to reconstruct a signal from its highly under‐sampled observations. A high dimensional image processing system can adopt the CS paradigm to reduce the storage and the t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::028b9bc1aba7b4ccbacc792385ca4dc1
https://doi.org/10.1049/ipr2.12029
https://doi.org/10.1049/ipr2.12029
Autor:
Sheikh Rafiul Islam, Swagatam Biswas
Publikováno v:
Machine Learning for Robotics Applications ISBN: 9789811605970
Human activity recognition (HAR) system plays a very impactful role in providing precise and opportune information on people’s activities and behaviors. It is applicable in many diversified fields like surveillance, human–computer interaction, he
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::347a79c445ed5d8efc68a49ffb32da80
https://doi.org/10.1007/978-981-16-0598-7_2
https://doi.org/10.1007/978-981-16-0598-7_2
Publikováno v:
Signal Processing: Image Communication. 61:21-32
Secret image sharing (SIS) is a technique of protecting the secret images from an unauthorized access through the generation of few shares or shadow images and serves various purposes such as multi-party computation, threshold cryptography, access co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3690f10f7c5a63c309afdf7edcfb7f34
https://doi.org/10.1016/j.image.2017.10.012
https://doi.org/10.1016/j.image.2017.10.012
Publikováno v:
Signal Processing: Image Communication. 52:173-182
Compressed Sensing (CS) or Compressive Sampling is an integral component in the reconstruction of image from sub-sample (incomplete) measurements. In many practical situations, multiple channel sensing, followed by suitable fusion strategy, reconstru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6c97927194dafe90edce4ca3d812291
https://doi.org/10.1016/j.image.2016.12.010
https://doi.org/10.1016/j.image.2016.12.010
Publikováno v:
CCECE
Pneumonia is one of the life threatening very common disease and needs proper diagnosis at an early stage for proper treatment of recovery. Chest X-ray is used as an imagining modality to identify the disease by a professional radiologist. This paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85e3ed62dbac1297146b93967aec10db
https://doi.org/10.1109/ccece.2019.8861969
https://doi.org/10.1109/ccece.2019.8861969
Compressed sensing regularized calibrationless parallel magnetic resonance imaging via deep learning
Publikováno v:
Biomedical Signal Processing and Control. 66:102399
The longer scanning time requirement in Magnetic Resonance Imaging (MRI) can one way be overcome through parallel data acquisition technique. The scanning time in pMRI systems can further be reduced through calibrationless data acquisition process th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a69e06c4a879d0f4fc08b13aa393970
https://doi.org/10.1016/j.bspc.2020.102399
https://doi.org/10.1016/j.bspc.2020.102399
Publikováno v:
2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET).
Compressed Sensing (CS) or Compressive Sampling offers an improved data acquisition rate for Parallel Magnetic Resonance Imaging (pMRI) systems to achieve reduced scanning time. In pMRI, the optimization of image quality is done through appropriate s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5f1fc573f532b1b99283ffdbaa119fb
https://doi.org/10.1109/wispnet.2017.8299942
https://doi.org/10.1109/wispnet.2017.8299942
MR Imaging via Reduced Generalized Autocalibrating Partially Parallel Acquisition Compressed Sensing
Publikováno v:
Computer Vision, Graphics, and Image Processing ISBN: 9783319681238
ICVGIP Workshops
ICVGIP Workshops
Magnetic Resonance Imaging (MRI) system in recent times demands a high rate of acceleration in data acquisition to reduce the scanning time. The data acquisition rate can be accelerated to a significant order through Parallel MRI (pMRI) approach. An
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62eafae0133c515aabeb003f1ab31f6b
https://doi.org/10.1007/978-3-319-68124-5_30
https://doi.org/10.1007/978-3-319-68124-5_30