New Bi-, Tri-, and Fourlateral Filters for Color and Hyperspectral Images Filtering / Ostheimer Ekaterina,Labunets Valeriy,Kurganski Andrey,Komarov Denis,Artemov Ivan // . - 2015. - V. 542, l. . - P. 102-113.

ISSN/EISSN:

1865-0929 / нет данных

Type:

Proceedings Paper

Abstract:

In the paper, we investigate effectiveness of modified bilateral and new tri-, and fourlateral denoising filters for grey, color, and hyperspectral image procession. Conventional bilateral filter performs merely weighted averaging of the local neighborhood pixels. The weight includes two components: spatial and radiometric ones. The first component measures the geometric distances between the center pixel and local neighborhood ones. The second component measures the radiometric distance between the values of the center pixel and local neighborhood ones. Noise affects all pixels even onto the centre one used as a reference for the tonal filtering. Thus, the noise affecting the centre pixel has a disproportionate effect onto the result. This suggests the first modification: the center pixel is replaced by the weighted average (with some estimate of the true value) of the neighborhood pixels contained in a window around it. The second modification uses the matrix-valued weights. They include four components: spatial, radiometric, inter-channel weights, and radiometric inter-channel ones. The fourth weight measures the radiometric distance (for grey-level images) between the inter-channel values of the center scalar-valued channel pixel and local neighborhood channel ones.

Author keywords:

Bilateral filters; Image processing; Hyperspectral images DIFFUSION

DOI:

10.1007/978-3-319-26123-2\_10

Web of Science ID:

ISI:000369176700010

Соавторы в МНС:

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Другие поля

Поле	Значение
Editor	Khachay, MY and Konstantinova, N and Panchenko, A and Ignatov, DI and Labunets, VG
Booktitle	ANALYSIS OF IMAGES, SOCIAL NETWORKS AND TEXTS, AIST 2015
Series	Communications in Computer and Information Science
Note	4th International Conference on Analysis of Images, Social Networks, and Texts (AIST), Yekaterinburg, RUSSIA, APR 09-11, 2015
Organization	Ural Fed Univ; Krasovsky Inst Math \& Mech; Russian Acad Sci, Ural Branch; Natl Res Univ Higher Sch Econ; Ctr Excellence Quantum \& Video Informat Technologies
Publisher	SPRINGER-VERLAG BERLIN
Address	HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
Language	English
ISBN	978-3-319-26123-2; 978-3-319-26122-5
Keywords-Plus	DIFFUSION
Research-Areas	Computer Science; Robotics
Web-of-Science-Categories	Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Theory \& Methods; Robotics
Author-Email	katya@capricat.com vlabunets05@yahoo.com k-and92@mail.ru
Number-of-Cited-References	14
Doc-Delivery-Number	BE2GG