Super-resolution approach to overcome physical limitations of imaging sensors: An overview

Euncheol Choi, Jongseong Choi, Moon Gi Kang

Research output: Contribution to journalReview article

23 Citations (Scopus)

Abstract

Although the performance of CCD and CMOS imaging sensors has improved since their invention, they still have several physical limitations, such as various sources of noise, limited dynamic range, and limited spatial resolution. Besides these physical limitations, they have malfunctioning problems, such as smearing and blooming, which degrade the quality of captured images. These limitations and malfunctioning problems can be overcome, based on device physics and circuit technology. However, a signal-processing-based approach is a good alternative solution to these problems, because it may cost less and existing imaging systems can be still utilized. In a broad sense, this signal-processing-based approach can be called a super-resolution approach. The goal of this article is to introduce a super-resolution approach that overcomes the limitations of imaging sensors. To this purpose, we describe the existing limitations of imaging sensors first, and then describe the corresponding super-resolution approach.

Original languageEnglish
Pages (from-to)36-46
Number of pages11
JournalInternational Journal of Imaging Systems and Technology
Volume14
Issue number2
DOIs
Publication statusPublished - 2004 Sep 27

Fingerprint

Imaging techniques
Sensors
Signal processing
Patents and inventions
Charge coupled devices
Imaging systems
Physics
Networks (circuits)
Costs

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Software
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

@article{000c551d2f914784bd0be010ab45b4ed,
title = "Super-resolution approach to overcome physical limitations of imaging sensors: An overview",
abstract = "Although the performance of CCD and CMOS imaging sensors has improved since their invention, they still have several physical limitations, such as various sources of noise, limited dynamic range, and limited spatial resolution. Besides these physical limitations, they have malfunctioning problems, such as smearing and blooming, which degrade the quality of captured images. These limitations and malfunctioning problems can be overcome, based on device physics and circuit technology. However, a signal-processing-based approach is a good alternative solution to these problems, because it may cost less and existing imaging systems can be still utilized. In a broad sense, this signal-processing-based approach can be called a super-resolution approach. The goal of this article is to introduce a super-resolution approach that overcomes the limitations of imaging sensors. To this purpose, we describe the existing limitations of imaging sensors first, and then describe the corresponding super-resolution approach.",
author = "Euncheol Choi and Jongseong Choi and Kang, {Moon Gi}",
year = "2004",
month = "9",
day = "27",
doi = "10.1002/ima.20006",
language = "English",
volume = "14",
pages = "36--46",
journal = "International Journal of Imaging Systems and Technology",
issn = "0899-9457",
publisher = "John Wiley and Sons Inc.",
number = "2",

}

Super-resolution approach to overcome physical limitations of imaging sensors : An overview. / Choi, Euncheol; Choi, Jongseong; Kang, Moon Gi.

In: International Journal of Imaging Systems and Technology, Vol. 14, No. 2, 27.09.2004, p. 36-46.

Research output: Contribution to journalReview article

TY - JOUR

T1 - Super-resolution approach to overcome physical limitations of imaging sensors

T2 - An overview

AU - Choi, Euncheol

AU - Choi, Jongseong

AU - Kang, Moon Gi

PY - 2004/9/27

Y1 - 2004/9/27

N2 - Although the performance of CCD and CMOS imaging sensors has improved since their invention, they still have several physical limitations, such as various sources of noise, limited dynamic range, and limited spatial resolution. Besides these physical limitations, they have malfunctioning problems, such as smearing and blooming, which degrade the quality of captured images. These limitations and malfunctioning problems can be overcome, based on device physics and circuit technology. However, a signal-processing-based approach is a good alternative solution to these problems, because it may cost less and existing imaging systems can be still utilized. In a broad sense, this signal-processing-based approach can be called a super-resolution approach. The goal of this article is to introduce a super-resolution approach that overcomes the limitations of imaging sensors. To this purpose, we describe the existing limitations of imaging sensors first, and then describe the corresponding super-resolution approach.

AB - Although the performance of CCD and CMOS imaging sensors has improved since their invention, they still have several physical limitations, such as various sources of noise, limited dynamic range, and limited spatial resolution. Besides these physical limitations, they have malfunctioning problems, such as smearing and blooming, which degrade the quality of captured images. These limitations and malfunctioning problems can be overcome, based on device physics and circuit technology. However, a signal-processing-based approach is a good alternative solution to these problems, because it may cost less and existing imaging systems can be still utilized. In a broad sense, this signal-processing-based approach can be called a super-resolution approach. The goal of this article is to introduce a super-resolution approach that overcomes the limitations of imaging sensors. To this purpose, we describe the existing limitations of imaging sensors first, and then describe the corresponding super-resolution approach.

UR - http://www.scopus.com/inward/record.url?scp=4544314344&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=4544314344&partnerID=8YFLogxK

U2 - 10.1002/ima.20006

DO - 10.1002/ima.20006

M3 - Review article

AN - SCOPUS:4544314344

VL - 14

SP - 36

EP - 46

JO - International Journal of Imaging Systems and Technology

JF - International Journal of Imaging Systems and Technology

SN - 0899-9457

IS - 2

ER -