Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Aram Danielyan"'
Autor:
Matias Koskela, Ville Korhonen, Aram Danielyan, Pekka Jääskeläinen, Cristóvão Cruz, Karen Egiazarian, James Price, Simon McIntosh-Smith, Jarmo Takala
Publikováno v:
Journal of Signal Processing Systems. 91:33-46
While data parallelism aspects of OpenCL have been of primary interest due to the massively data parallel GPUs being on focus, OpenCL also provides powerful capabilities to describe task parallelism. In this article we study the task parallel concept
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::958522f62827eb24c147ae372f32a74d
https://doi.org/10.1007/s11265-018-1416-1
https://doi.org/10.1007/s11265-018-1416-1
Autor:
Aram Danielyan, Vladimir V. Lukin, Oleg Ieremeiev, Alessandro Foi, Nikolay N. Ponomarenko, Karen Egiazarian
Publikováno v:
Image Processing: Algorithms and Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50e8ede4e2c438afa3fa246d7fe54cf7
https://doi.org/10.2352/issn.2470-1173.2017.13.dpmi-083
https://doi.org/10.2352/issn.2470-1173.2017.13.dpmi-083
Publikováno v:
Tampere University
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e66c42054fe557e65b22c3009b93aa8
https://doi.org/10.1201/9781439819319-5
https://doi.org/10.1201/9781439819319-5
Publikováno v:
Methods. 68:308-316
Two-photon florescence imaging is widely used to perform morphological analysis of subcellular structures such as neuronal dendrites and spines, astrocytic processes etc. This method is also indispensable for functional analysis of cellular activity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f4103afe2ae6ce063ba78dab71ceefb
https://doi.org/10.1016/j.ymeth.2014.03.010
https://doi.org/10.1016/j.ymeth.2014.03.010
Autor:
Joonas Multanen, Timo Viitanen, Pekka Jääskeläinen, Heikki Kultala, Cristóvão Cruz, Matias Koskela, Aram Danielyan, Jarmo Takala
Publikováno v:
2016 IEEE Nordic Circuits and Systems Conference (NORCAS)
NORCAS
NORCAS
Sophisticated computational imaging algorithms require both high performance and good energy-efficiency when executed on mobile devices. Recent trend has been to exploit the abundant data-level parallelism found in general purpose programmable GPUs.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19e8aa8d3fab1235abfe4a6035b0a262
Publikováno v:
SPIE Proceedings.
We propose a novel deblurring algorithm for Poissonian images. The algorithm uses data adaptive BM3D-frames for sparse image modeling. Reconstruction is formulated as a generalized Nash equilibrium problem, seeking a balance between the data fit and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::457e5d0efd0c796290bfd0a9bc7e065d
https://doi.org/10.1117/12.893747
https://doi.org/10.1117/12.893747
A family of the Block Matching 3-D (BM3D) algorithms for various imaging problems has been recently proposed within the framework of nonlocal patch-wise image modeling [1], [2]. In this paper we construct analysis and synthesis frames, formalizing th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::414aa60d2ec94af45b2676e162b5f7f2
http://arxiv.org/abs/1106.6180
http://arxiv.org/abs/1106.6180
Publikováno v:
2009 International Workshop on Local and Non-Local Approximation in Image Processing.
Color image reconstruction from noisy color filter array (CFA) data is considered. A modification of the Block Matching 3D (BM3D) [2] filter for CFA data denoising utilizing cross-color correlations is proposed. Denoised images are then demosaicked b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38dfdf6e8f21a0719287b405f2bdad4f
https://doi.org/10.1109/lnla.2009.5278395
https://doi.org/10.1109/lnla.2009.5278395
Autor:
Alessandro Foi, Aram Danielyan
Publikováno v:
2009 International Workshop on Local and Non-Local Approximation in Image Processing.
We consider the estimation of the variance of an additive white Gaussian noise corrupting an image.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f097ef37cb577b0b12fd59b071adf02d
https://doi.org/10.1109/lnla.2009.5278404
https://doi.org/10.1109/lnla.2009.5278404
Publikováno v:
Tampere University
ICIP
ICIP
Recently within the framework of nonlocal patch-wise estimation a family of the Block Matching 3-D (BM3D) algorithms has been developed for various imaging problems [1], [2]. In [3] we demonstrated that BM3D modeling allows frame interpretation and c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::342ee54aeca20ba2083c9e593fb0827f
https://researchportal.tuni.fi/en/publications/86296d1b-7f71-431c-a3bf-d1d9258228ab
https://researchportal.tuni.fi/en/publications/86296d1b-7f71-431c-a3bf-d1d9258228ab