An Edge Gradient Enhancing Adaptive Order Statistic Filter

Yong Hoon Lee; Adly T. Fam

doi:10.1109/TASSP.1987.1165188

An Edge Gradient Enhancing Adaptive Order Statistic Filter

Yong Hoon Lee
, Adly T. Fam

Department of Electrical Engineering

SUNY Buffalo

Research output: Contribution to journal › Comment/debate

57 Scopus citations

Abstract

We consider an adaptive order statistic (OS) filter that can enhance gradients of edges while suppressing impulsive and some non-impulsive noise components. in particular, comparison and selection (CS) filters are introduced, in which the output is determined by comparing the sample mean and median values inside each window. It is shown theoretically that CS filters can enhance gradients of a variety of edges including noisy blurred ones.Some root properties of CS filters are also shown. Finally, experimental results are presented to illustrate the performance characteristics of these filters.

Original language	English
Pages (from-to)	680-695
Number of pages	16
Journal	IEEE Transactions on Acoustics, Speech, and Signal Processing
Volume	35
Issue number	5
DOIs	https://doi.org/10.1109/TASSP.1987.1165188
State	Published - May 1987

Access to Document

10.1109/TASSP.1987.1165188

Cite this

@article{9a1de28c136f4ddca872645870572e67,

title = "An Edge Gradient Enhancing Adaptive Order Statistic Filter",

abstract = "We consider an adaptive order statistic (OS) filter that can enhance gradients of edges while suppressing impulsive and some non-impulsive noise components. in particular, comparison and selection (CS) filters are introduced, in which the output is determined by comparing the sample mean and median values inside each window. It is shown theoretically that CS filters can enhance gradients of a variety of edges including noisy blurred ones.Some root properties of CS filters are also shown. Finally, experimental results are presented to illustrate the performance characteristics of these filters.",

author = "Lee, \{Yong Hoon\} and Fam, \{Adly T.\}",

year = "1987",

month = may,

doi = "10.1109/TASSP.1987.1165188",

language = "English",

volume = "35",

pages = "680--695",

journal = "IEEE Transactions on Acoustics, Speech, and Signal Processing",

issn = "0096-3518",

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

number = "5",

}

TY - JOUR

T1 - An Edge Gradient Enhancing Adaptive Order Statistic Filter

AU - Lee, Yong Hoon

AU - Fam, Adly T.

PY - 1987/5

Y1 - 1987/5

N2 - We consider an adaptive order statistic (OS) filter that can enhance gradients of edges while suppressing impulsive and some non-impulsive noise components. in particular, comparison and selection (CS) filters are introduced, in which the output is determined by comparing the sample mean and median values inside each window. It is shown theoretically that CS filters can enhance gradients of a variety of edges including noisy blurred ones.Some root properties of CS filters are also shown. Finally, experimental results are presented to illustrate the performance characteristics of these filters.

AB - We consider an adaptive order statistic (OS) filter that can enhance gradients of edges while suppressing impulsive and some non-impulsive noise components. in particular, comparison and selection (CS) filters are introduced, in which the output is determined by comparing the sample mean and median values inside each window. It is shown theoretically that CS filters can enhance gradients of a variety of edges including noisy blurred ones.Some root properties of CS filters are also shown. Finally, experimental results are presented to illustrate the performance characteristics of these filters.

UR - https://www.scopus.com/pages/publications/0023345549

U2 - 10.1109/TASSP.1987.1165188

DO - 10.1109/TASSP.1987.1165188

M3 - Comment/debate

AN - SCOPUS:0023345549

SN - 0096-3518

VL - 35

SP - 680

EP - 695

JO - IEEE Transactions on Acoustics, Speech, and Signal Processing

JF - IEEE Transactions on Acoustics, Speech, and Signal Processing

IS - 5

ER -

An Edge Gradient Enhancing Adaptive Order Statistic Filter

Abstract

Access to Document

Other files and links

Fingerprint

Cite this