Releasing aperture filter constraints

S. Marshall

Releasing aperture filter constraints

S. Marshall

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper

86 Downloads (Pure)

Abstract

Aperture ﬁlters are a recently introduced class of nonlinear ﬁlters used in image processing. In this paper we present a new approach for aperture ﬁlter design, improving operator performance with respect to the MSE measure by releasing some of the operator constraints without losing statistical estimation accuracy. With the use of the proposed methods an average of 34% MSE reduction was achieved for
deblurring, whereas a standard aperture operator reduced the error by only 10% on the average.

Original language	English
Pages	1492-1496
Number of pages	5
Publication status	Published - 2007
Event	15th European Signal Processing Conference - Poznan , Poland Duration: 3 Sep 2007 → 7 Sep 2007

Conference

Conference	15th European Signal Processing Conference
Abbreviated title	EUSIPCO 2007
Country	Poland
City	Poznan
Period	3/09/07 → 7/09/07

Keywords

filter constraints
apertures

Access to Document

C3l b03Accepted author manuscript, 1.09 MB

http://www.eurasip.org/Proceedings/Eusipco/Eusipco2007/Papers/c3l-b03.pdf

Fingerprint Dive into the research topics of 'Releasing aperture filter constraints'. Together they form a unique fingerprint.

Cite this

@conference{2817afed0b244df2b2367a88806b9682,

title = "Releasing aperture filter constraints",

abstract = "Aperture ﬁlters are a recently introduced class of nonlinear ﬁlters used in image processing. In this paper we present a new approach for aperture ﬁlter design, improving operator performance with respect to the MSE measure by releasing some of the operator constraints without losing statistical estimation accuracy. With the use of the proposed methods an average of 34% MSE reduction was achieved fordeblurring, whereas a standard aperture operator reduced the error by only 10% on the average.",

keywords = "filter constraints , apertures",

author = "S. Marshall",

year = "2007",

language = "English",

pages = "1492--1496",

note = "15th European Signal Processing Conference, EUSIPCO 2007 ; Conference date: 03-09-2007 Through 07-09-2007",

}

TY - CONF

T1 - Releasing aperture filter constraints

AU - Marshall, S.

PY - 2007

Y1 - 2007

N2 - Aperture ﬁlters are a recently introduced class of nonlinear ﬁlters used in image processing. In this paper we present a new approach for aperture ﬁlter design, improving operator performance with respect to the MSE measure by releasing some of the operator constraints without losing statistical estimation accuracy. With the use of the proposed methods an average of 34% MSE reduction was achieved fordeblurring, whereas a standard aperture operator reduced the error by only 10% on the average.

AB - Aperture ﬁlters are a recently introduced class of nonlinear ﬁlters used in image processing. In this paper we present a new approach for aperture ﬁlter design, improving operator performance with respect to the MSE measure by releasing some of the operator constraints without losing statistical estimation accuracy. With the use of the proposed methods an average of 34% MSE reduction was achieved fordeblurring, whereas a standard aperture operator reduced the error by only 10% on the average.

KW - filter constraints

KW - apertures

UR - http://www.eurasip.org/Proceedings/Eusipco/Eusipco2007/Papers/c3l-b03.pdf

M3 - Paper

SP - 1492

EP - 1496

T2 - 15th European Signal Processing Conference

Y2 - 3 September 2007 through 7 September 2007

ER -