Angular multichannel sigma filter

Rastislav Lukac; Bogdan Smolka; Konstantinos N. Plataniotis; Anastasios N. Venetsanopoulos; Pavol Zavarsky

Angular multichannel sigma filter

Rastislav Lukac
, Bogdan Smolka
, Konstantinos N. Plataniotis
, Anastasios N. Venetsanopoulos
, Pavol Zavarsky

Department of Data Science and Engineering (RAU/RAU4)

Slovak Image Processing Center
University of Toronto
Nagaoka University of Technology

Research output: Contribution to journal › Conference article › peer-review

9 Citations (Scopus)

Abstract

Adaptive nonlinear filtering methods are preferred in situations when it is necessary to adapt a filter behavior for varying signal and noise statistics. In case of the impulsive noise corruption, the problem is stated often as searching for the switching function that allows reducing the filter effect only to noisy samples. Thus, the undesired smoothing of non-corrupted image areas, which results in a blurring, especially of small image structures and details, is reduced. We provide a new adaptive framework between basic vector directional filter and identity operation based on the angular multichannel definition of the Lee sigma filter.

Original language	English
Pages (from-to)	745-748
Number of pages	4
Journal	Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume	3
Publication status	Published - 2003
Event	2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong Duration: 6 Apr 2003 → 10 Apr 2003

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "Angular multichannel sigma filter",

abstract = "Adaptive nonlinear filtering methods are preferred in situations when it is necessary to adapt a filter behavior for varying signal and noise statistics. In case of the impulsive noise corruption, the problem is stated often as searching for the switching function that allows reducing the filter effect only to noisy samples. Thus, the undesired smoothing of non-corrupted image areas, which results in a blurring, especially of small image structures and details, is reduced. We provide a new adaptive framework between basic vector directional filter and identity operation based on the angular multichannel definition of the Lee sigma filter.",

author = "Rastislav Lukac and Bogdan Smolka and Plataniotis, \{Konstantinos N.\} and Venetsanopoulos, \{Anastasios N.\} and Pavol Zavarsky",

year = "2003",

language = "English",

volume = "3",

pages = "745--748",

journal = "Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing",

issn = "0736-7791",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2003 IEEE International Conference on Accoustics, Speech, and Signal Processing ; Conference date: 06-04-2003 Through 10-04-2003",

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TY - JOUR

T1 - Angular multichannel sigma filter

AU - Lukac, Rastislav

AU - Smolka, Bogdan

AU - Plataniotis, Konstantinos N.

AU - Venetsanopoulos, Anastasios N.

AU - Zavarsky, Pavol

PY - 2003

Y1 - 2003

N2 - Adaptive nonlinear filtering methods are preferred in situations when it is necessary to adapt a filter behavior for varying signal and noise statistics. In case of the impulsive noise corruption, the problem is stated often as searching for the switching function that allows reducing the filter effect only to noisy samples. Thus, the undesired smoothing of non-corrupted image areas, which results in a blurring, especially of small image structures and details, is reduced. We provide a new adaptive framework between basic vector directional filter and identity operation based on the angular multichannel definition of the Lee sigma filter.

AB - Adaptive nonlinear filtering methods are preferred in situations when it is necessary to adapt a filter behavior for varying signal and noise statistics. In case of the impulsive noise corruption, the problem is stated often as searching for the switching function that allows reducing the filter effect only to noisy samples. Thus, the undesired smoothing of non-corrupted image areas, which results in a blurring, especially of small image structures and details, is reduced. We provide a new adaptive framework between basic vector directional filter and identity operation based on the angular multichannel definition of the Lee sigma filter.

UR - https://www.scopus.com/pages/publications/0141675162

M3 - Conference article

AN - SCOPUS:0141675162

SN - 0736-7791

VL - 3

SP - 745

EP - 748

JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

T2 - 2003 IEEE International Conference on Accoustics, Speech, and Signal Processing

Y2 - 6 April 2003 through 10 April 2003

ER -

Angular multichannel sigma filter

Abstract

ASJC Scopus subject areas

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