Efficient image processing for increased resolution and color correctness of CMOS image sensors

Jacky Baltes

doi:10.1007/3-540-45603-1_28

Efficient image processing for increased resolution and color correctness of CMOS image sensors

Jacky Baltes^*

^*Corresponding author for this work

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

Abstract

This paper describes fast demosaicing methods to quadruple the resolution of a CMOS camera. The resulting increase in accuracy in camera calibration and object detection is important for local vision robots, especially those that use computer vision as their only source of information about the state of the world. The paper describes two methods for demosaicing: interpolation and variance demosaicing. A comparison of three sample views is shown to demonstrate the increased resolution and the difference between the interpolation and variance demosaicing methods. Both demosaicing methods work well. Variance demosaicing performs better around edges in the image, but is computationally more expensive.

Original language	English
Title of host publication	RoboCup 2001
Subtitle of host publication	Robot Soccer World Cup V
Publisher	Springer Verlag
Pages	263-268
Number of pages	6
ISBN (Print)	3540439129, 9783540439127
DOIs	https://doi.org/10.1007/3-540-45603-1_28
Publication status	Published - 2002
Externally published	Yes
Event	5th Robot World Cup Soccer Games and Conferences, RoboCup 2001 - Seattle, WA, United States Duration: 2001 Aug 2 → 2001 Aug 10

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2377 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	5th Robot World Cup Soccer Games and Conferences, RoboCup 2001
Country/Territory	United States
City	Seattle, WA
Period	2001/08/02 → 2001/08/10

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/3-540-45603-1_28

Cite this

Baltes, J. (2002). Efficient image processing for increased resolution and color correctness of CMOS image sensors. In RoboCup 2001: Robot Soccer World Cup V (pp. 263-268). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2377 LNAI). Springer Verlag. https://doi.org/10.1007/3-540-45603-1_28

Efficient image processing for increased resolution and color correctness of CMOS image sensors. / Baltes, Jacky.

RoboCup 2001: Robot Soccer World Cup V. Springer Verlag, 2002. p. 263-268 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2377 LNAI).

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

Baltes, J 2002, Efficient image processing for increased resolution and color correctness of CMOS image sensors. in RoboCup 2001: Robot Soccer World Cup V. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2377 LNAI, Springer Verlag, pp. 263-268, 5th Robot World Cup Soccer Games and Conferences, RoboCup 2001, Seattle, WA, United States, 2001/08/02. https://doi.org/10.1007/3-540-45603-1_28

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AB - This paper describes fast demosaicing methods to quadruple the resolution of a CMOS camera. The resulting increase in accuracy in camera calibration and object detection is important for local vision robots, especially those that use computer vision as their only source of information about the state of the world. The paper describes two methods for demosaicing: interpolation and variance demosaicing. A comparison of three sample views is shown to demonstrate the increased resolution and the difference between the interpolation and variance demosaicing methods. Both demosaicing methods work well. Variance demosaicing performs better around edges in the image, but is computationally more expensive.

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Efficient image processing for increased resolution and color correctness of CMOS image sensors

Abstract

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ASJC Scopus subject areas

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