Zobrazeno 1 - 10
of 152
pro vyhledávání: '"Nikolas P. Galatsanos"'
Publikováno v:
IEEE Transactions on Image Processing. 19:351-362
In this paper, a new image prior is introduced and used in image restoration. This prior is based on products of spatially weighted total variations (TV). These spatial weights provide this prior with the flexibility to better capture local image fea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4efaf4ce933e439a2fa9e8c35d21cf8a
https://doi.org/10.1109/tip.2009.2033398
https://doi.org/10.1109/tip.2009.2033398
Publikováno v:
IEEE Signal Processing Magazine. 25:131-146
The influence of this Thomas Bayes' work was immense. It was from here that "Bayesian" ideas first spread through the mathematical world, as Bayes's own article was ignored until 1780 and played no important role in scientific debate until the 20th c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6536a70a12c0d7e4dba1cc77fc1af3c1
https://doi.org/10.1109/msp.2008.929620
https://doi.org/10.1109/msp.2008.929620
Publikováno v:
IEEE Transactions on Information Forensics and Security. 3:29-37
In this paper, we propose a new family of watermark detectors for additive watermarks in digital images. These detectors are based on a recently proposed hierarchical, two-level image model, which was found to be beneficial for image recovery problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7ec504a632cd113869df61cdd4e28ab
https://doi.org/10.1109/tifs.2007.916290
https://doi.org/10.1109/tifs.2007.916290
Publikováno v:
IEEE Transactions on Neural Networks. 16:494-498
Gaussian mixture models (GMMs) constitute a well-known type of probabilistic neural networks. One of their many successful applications is in image segmentation, where spatially constrained mixture models have been trained using the expectation-maxim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3899cef1a16e3aa931f1492ddf08f4e
https://doi.org/10.1109/tnn.2004.841773
https://doi.org/10.1109/tnn.2004.841773
Publikováno v:
IEEE Transactions on Medical Imaging. 23:1233-1244
In this paper, we describe an approach to content-based retrieval of medical images from a database, and provide a preliminary demonstration of our approach as applied to retrieval of digital mammograms. Content-based image retrieval (CBIR) refers to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ecf2e06c28c6f21b79ad15ee37394ce
https://doi.org/10.1109/tmi.2004.834601
https://doi.org/10.1109/tmi.2004.834601
Autor:
Nikolas P. Galatsanos, Aristidis Likas
Publikováno v:
IEEE Transactions on Signal Processing. 52:2222-2233
In this paper, the blind image deconvolution (BID) problem is addressed using the Bayesian framework. In order to solve for the proposed Bayesian model, we present a new methodology based on a variational approximation, which has been recently introd
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ec91b6d7f9605adcb5cca48334a272e
https://doi.org/10.1109/tsp.2004.831119
https://doi.org/10.1109/tsp.2004.831119
Publikováno v:
IEEE Transactions on Nuclear Science. 50:1410-1414
In this paper, we present a new approach for segmentation of image sequences by clustering the pixels according to their temporal behavior. The clustering metric we use is the normalized cross-correlation, also known as similarity. The main advantage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ca59308c9b097a62f267d38e01fe169
https://doi.org/10.1109/tns.2003.817963
https://doi.org/10.1109/tns.2003.817963
Publikováno v:
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing. 48:376-387
In this paper, we propose a multichannel regularized recovery approach to ameliorate coding artifacts in compressed video. The major advantage of the proposed approach is that both temporal and spatial correlations in a video sequence can be exploite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9a37be98d4a5a7106f1f32cd9b18d74
https://doi.org/10.1109/82.933797
https://doi.org/10.1109/82.933797
Publikováno v:
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing. 47:714-725
A new technique for designing linear and arbitrary-phase finite-impulse response (FIR) filters with various types of constraints is proposed. The approach is based on the method of vector space projections. We describe the constraint sets and their a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c23b6d5bb37b963eba976f6ca61e157
https://doi.org/10.1109/82.861404
https://doi.org/10.1109/82.861404
Publikováno v:
IEEE Transactions on Signal Processing. 47:3058-3066
A new technique for designing digital linear-phase FIR crossover systems for loudspeakers is proposed. The approach is based on the principle of vector space projections. We describe the constraint sets and their projections that capture the properti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d6245012b374e372f54710b4ab1c653
https://doi.org/10.1109/78.796439
https://doi.org/10.1109/78.796439