Color image interpolation using vector rational filters

Faouzi Alaya Cheikh; Lazhar Khriji; Moncef Gabbouj; Giovanni Ramponi

doi:10.1117/12.304604

Color image interpolation using vector rational filters

Faouzi Alaya Cheikh^*, Lazhar Khriji, Moncef Gabbouj, Giovanni Ramponi

^*Corresponding author for this work

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

11 Citations (Scopus)

Abstract

Rational filters are extended to multichannel signal processing and applied to the image interpolation problem. The proposed nonlinear interpolator exhibits desirable properties, such as, edge and details preservation. In this approach the pixels of the color image are considered as 3-component vectors in the color space. Therefore, the inherent correlation which exists between the different color components is not ignored; thus, leading to better image quality than those obtained by component-wise processing. Simulations show that the resulting edges obtained using vector rational filters (VRF) are free from blockiness and jaggedness, which are usually present in images interpolated using especially linear, but also some nonlinear techniques, e.g. vector median hybrid filters (VFMH).

Original language	English
Pages (from-to)	242-249
Number of pages	8
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	3304
DOIs	https://doi.org/10.1117/12.304604
Publication status	Published - 1998
Externally published	Yes
Event	Nonlinear Image Processing IX - San Jose, CA, United States Duration: Jan 26 1998 → Jan 27 1998

Keywords

Color
Filter
Image
Interpolation
Multichannel
Nonlinear
Quincunx
R ectangular
Rational

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.304604

Cite this

@article{8f564973865c43eb956ad4cad3d27f23,

title = "Color image interpolation using vector rational filters",

abstract = "Rational filters are extended to multichannel signal processing and applied to the image interpolation problem. The proposed nonlinear interpolator exhibits desirable properties, such as, edge and details preservation. In this approach the pixels of the color image are considered as 3-component vectors in the color space. Therefore, the inherent correlation which exists between the different color components is not ignored; thus, leading to better image quality than those obtained by component-wise processing. Simulations show that the resulting edges obtained using vector rational filters (VRF) are free from blockiness and jaggedness, which are usually present in images interpolated using especially linear, but also some nonlinear techniques, e.g. vector median hybrid filters (VFMH).",

keywords = "Color, Filter, Image, Interpolation, Multichannel, Nonlinear, Quincunx, R ectangular, Rational",

author = "Cheikh, {Faouzi Alaya} and Lazhar Khriji and Moncef Gabbouj and Giovanni Ramponi",

year = "1998",

doi = "10.1117/12.304604",

language = "English",

volume = "3304",

pages = "242--249",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

publisher = "SPIE",

note = "Nonlinear Image Processing IX ; Conference date: 26-01-1998 Through 27-01-1998",

}

TY - JOUR

T1 - Color image interpolation using vector rational filters

AU - Cheikh, Faouzi Alaya

AU - Khriji, Lazhar

AU - Gabbouj, Moncef

AU - Ramponi, Giovanni

PY - 1998

Y1 - 1998

N2 - Rational filters are extended to multichannel signal processing and applied to the image interpolation problem. The proposed nonlinear interpolator exhibits desirable properties, such as, edge and details preservation. In this approach the pixels of the color image are considered as 3-component vectors in the color space. Therefore, the inherent correlation which exists between the different color components is not ignored; thus, leading to better image quality than those obtained by component-wise processing. Simulations show that the resulting edges obtained using vector rational filters (VRF) are free from blockiness and jaggedness, which are usually present in images interpolated using especially linear, but also some nonlinear techniques, e.g. vector median hybrid filters (VFMH).

AB - Rational filters are extended to multichannel signal processing and applied to the image interpolation problem. The proposed nonlinear interpolator exhibits desirable properties, such as, edge and details preservation. In this approach the pixels of the color image are considered as 3-component vectors in the color space. Therefore, the inherent correlation which exists between the different color components is not ignored; thus, leading to better image quality than those obtained by component-wise processing. Simulations show that the resulting edges obtained using vector rational filters (VRF) are free from blockiness and jaggedness, which are usually present in images interpolated using especially linear, but also some nonlinear techniques, e.g. vector median hybrid filters (VFMH).

KW - Color

KW - Filter

KW - Image

KW - Interpolation

KW - Multichannel

KW - Nonlinear

KW - Quincunx

KW - R ectangular

KW - Rational

UR - http://www.scopus.com/inward/record.url?scp=0032400615&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032400615&partnerID=8YFLogxK

U2 - 10.1117/12.304604

DO - 10.1117/12.304604

M3 - Conference article

AN - SCOPUS:0032400615

SN - 0277-786X

VL - 3304

SP - 242

EP - 249

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Nonlinear Image Processing IX

Y2 - 26 January 1998 through 27 January 1998

ER -

Color image interpolation using vector rational filters

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this