Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Roumiana Kountcheva"'
Publikováno v:
INISTA
The paper presents a new technique for archiving and protecting content of visual medical information. A special format is developed based on a new Inverse Pyramid decomposition. The images are archived with the highest quality but their restoration
Autor:
Roumiana Kountcheva, Vladimir Todorov
Publikováno v:
Advances in Intelligent Analysis of Medical Data and Decision Support Systems ISBN: 9783319000282
Advances in Intelligent Analysis of Medical Data and Decision Support Systems
Advances in Intelligent Analysis of Medical Data and Decision Support Systems
In the paper is presented one specific approach aimed at improvement of the visual quality of underexposed or low-contrast medical images. For this are developed adaptive contrast-enhancement algorithms, based on the segmentation of the image area wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a073026bb60904c663787ac76ca01422
https://doi.org/10.1007/978-3-319-00029-9_6
https://doi.org/10.1007/978-3-319-00029-9_6
Autor:
Roumen Kountchev, Roumiana Kountcheva
Publikováno v:
2011 10th International Conference on Telecommunication in Modern Satellite Cable and Broadcasting Services (TELSIKS).
In this paper is presented one new approach for efficient still image compression based on the Karhunen-Loeve color transform and the Inverse Pyramid decomposition. In result of the strong decorrelation between the color components after the transfor
Publikováno v:
IRI
In this paper we present a new method for preprocessing of scanned documents , aimed at the enhancement of the documents' visual quality and as a consequence at their efficient compression and archiving. The preprocessing comprises two basic steps: a
Publikováno v:
International Journal of Reasoning-based Intelligent Systems. 3:124
In this paper, a new approach for compression of multi-view and multispectral images, based on the Inverse Pyramid Decomposition (IPD), is presented. This approach is applicable to large number of spectral images or views of same object, processed as