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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationRoboCup 2001
Subtitle of host publicationRobot Soccer World Cup V
Pages263-268
Number of pages6
Publication statusPublished - 2002 Dec 1
Event5th Robot World Cup Soccer Games and Conferences, RoboCup 2001 - Seattle, WA, United States
Duration: 2001 Aug 22001 Aug 10

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2377 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th Robot World Cup Soccer Games and Conferences, RoboCup 2001
CountryUnited States
CitySeattle, WA
Period01/8/201/8/10

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Baltes, H. 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).