Bayer pattern based CFA zooming / CFA interpolation framework

R. Lukac; K. Martin; K. N. Plataniotis; B. Smolka; A. N. Venetsanopoulos

Bayer pattern based CFA zooming / CFA interpolation framework

R. Lukac
, K. Martin
, K. N. Plataniotis
, B. Smolka
, A. N. Venetsanopoulos

Department of Data Science and Engineering (RAU/RAU4)

University of Toronto

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

A unified framework for Bayer pattern based single-sensor imaging devices is introduced. Operating on the Bayer color filter array (CFA) data, the method performs CFA image zooming and full color image reconstruction in a cost-effective way making the system practical for hardware implementation. The high-level system components, namely CFA zooming, CFA interpolation and CFA based correction step utilize a color-ratio model and an edge-sensing mechanism to produce naturally colored and sharp, enlarged output. Simulation studies presented here indicate that the new method produces excellent results and outperforms other approaches in terms of both objective and subjective evaluation measures.

Original language	English
Title of host publication	2004 12th European Signal Processing Conference, EUSIPCO 2004
Publisher	European Signal Processing Conference, EUSIPCO
Pages	1421-1424
Number of pages	4
ISBN (Electronic)	9783200001657
Publication status	Published - 3 Apr 2015
Event	12th European Signal Processing Conference, EUSIPCO 2004 - Vienna, Austria Duration: 6 Sept 2004 → 10 Sept 2004

Publication series

Name	European Signal Processing Conference
Volume	06-10-September-2004
ISSN (Print)	2219-5491

Conference

Conference	12th European Signal Processing Conference, EUSIPCO 2004
Country/Territory	Austria
City	Vienna
Period	6/09/04 → 10/09/04

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering

Cite this

@inproceedings{a076c8bac0d54f9eb9c53215a15f93c1,

title = "Bayer pattern based CFA zooming / CFA interpolation framework",

abstract = "A unified framework for Bayer pattern based single-sensor imaging devices is introduced. Operating on the Bayer color filter array (CFA) data, the method performs CFA image zooming and full color image reconstruction in a cost-effective way making the system practical for hardware implementation. The high-level system components, namely CFA zooming, CFA interpolation and CFA based correction step utilize a color-ratio model and an edge-sensing mechanism to produce naturally colored and sharp, enlarged output. Simulation studies presented here indicate that the new method produces excellent results and outperforms other approaches in terms of both objective and subjective evaluation measures.",

author = "R. Lukac and K. Martin and Plataniotis, \{K. N.\} and B. Smolka and Venetsanopoulos, \{A. N.\}",

note = "Publisher Copyright: {\textcopyright} 2004 EUSIPCO.; 12th European Signal Processing Conference, EUSIPCO 2004 ; Conference date: 06-09-2004 Through 10-09-2004",

year = "2015",

month = apr,

day = "3",

language = "English",

series = "European Signal Processing Conference",

publisher = "European Signal Processing Conference, EUSIPCO",

pages = "1421--1424",

booktitle = "2004 12th European Signal Processing Conference, EUSIPCO 2004",

address = "Belgium",

}

Lukac, R, Martin, K, Plataniotis, KN, Smolka, B & Venetsanopoulos, AN 2015, Bayer pattern based CFA zooming / CFA interpolation framework. in 2004 12th European Signal Processing Conference, EUSIPCO 2004., 7079895, European Signal Processing Conference, vol. 06-10-September-2004, European Signal Processing Conference, EUSIPCO, pp. 1421-1424, 12th European Signal Processing Conference, EUSIPCO 2004, Vienna, Austria, 6/09/04.

Bayer pattern based CFA zooming / CFA interpolation framework. / Lukac, R.; Martin, K.; Plataniotis, K. N. et al.
2004 12th European Signal Processing Conference, EUSIPCO 2004. European Signal Processing Conference, EUSIPCO, 2015. p. 1421-1424 7079895 (European Signal Processing Conference; Vol. 06-10-September-2004).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Bayer pattern based CFA zooming / CFA interpolation framework

AU - Lukac, R.

AU - Martin, K.

AU - Plataniotis, K. N.

AU - Smolka, B.

AU - Venetsanopoulos, A. N.

PY - 2015/4/3

Y1 - 2015/4/3

N2 - A unified framework for Bayer pattern based single-sensor imaging devices is introduced. Operating on the Bayer color filter array (CFA) data, the method performs CFA image zooming and full color image reconstruction in a cost-effective way making the system practical for hardware implementation. The high-level system components, namely CFA zooming, CFA interpolation and CFA based correction step utilize a color-ratio model and an edge-sensing mechanism to produce naturally colored and sharp, enlarged output. Simulation studies presented here indicate that the new method produces excellent results and outperforms other approaches in terms of both objective and subjective evaluation measures.

AB - A unified framework for Bayer pattern based single-sensor imaging devices is introduced. Operating on the Bayer color filter array (CFA) data, the method performs CFA image zooming and full color image reconstruction in a cost-effective way making the system practical for hardware implementation. The high-level system components, namely CFA zooming, CFA interpolation and CFA based correction step utilize a color-ratio model and an edge-sensing mechanism to produce naturally colored and sharp, enlarged output. Simulation studies presented here indicate that the new method produces excellent results and outperforms other approaches in terms of both objective and subjective evaluation measures.

UR - https://www.scopus.com/pages/publications/78049439217

M3 - Conference contribution

AN - SCOPUS:78049439217

T3 - European Signal Processing Conference

SP - 1421

EP - 1424

BT - 2004 12th European Signal Processing Conference, EUSIPCO 2004

PB - European Signal Processing Conference, EUSIPCO

T2 - 12th European Signal Processing Conference, EUSIPCO 2004

Y2 - 6 September 2004 through 10 September 2004

ER -

Bayer pattern based CFA zooming / CFA interpolation framework

Abstract

Publication series

Conference

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this