High quality panoramic image generation using multiple panoramic annular lens images

Satoshi Araki*, Kei Maeda, Keiji Shibata, Yuukou Horita

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Surveillance with intelligent camera systems is widely used in traffic control, driving assistance and surgery. One of the most essential specifications for surveillance systems is compactness. Therefore, in these applications with large field of view, we can avoid the use of multiple camera systems or mechanically controlled cameras. It is well known that omnidirectional camera systems using panoramic annular lens (PAL) have many advantages. Nevertheless, because of low spatial resolution of angle of elevation for the vertical direction of captured image by using PAL, the image after panoramic expansion usually has a disadvantage such as image quality degradation. To overcome this disadvantage, high quality panoramic image generation method is essential. Consequently, we propose the high quality panoramic image generation method using multiple PAL images. By synthesizing multiple PAL images for different zoom ratio, we can obtain fine quality panoramic image that improve image quality deterioration.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages1213-1216
Number of pages4
DOIs
StatePublished - 2010
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
Duration: 2010/09/262010/09/29

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2010 17th IEEE International Conference on Image Processing, ICIP 2010
Country/TerritoryHong Kong
CityHong Kong
Period2010/09/262010/09/29

Keywords

  • Expansion
  • High-quality
  • Multiple image
  • Omnidirectional camera system
  • Panorama

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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