Automotive camera quality measurements based on stability, contrast and intensity metrics in text regions

Sungwook Youn, Chulhee Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many modern automobiles have recently been equipped with a range of various cameras, including rear, front and side view cameras. Consequently, evaluating camera quality has become important. However, existing camera quality measurement methods standardized by ISO do not consider subjective ratings. In this paper, we propose a new perceptual video quality measurement method for automotive cameras. The proposed method measures stability, contrast and intensity metrics in text regions. Video sequences were captured with a number of automotive cameras and several subjective tests were conducted. The results show that the proposed method produced good correlations with subjective ratings.

Original languageEnglish
Title of host publicationSatellite Data Compression, Communications, and Processing VIII
DOIs
Publication statusPublished - 2012
EventSatellite Data Compression, Communications, and Processing VIII - San Diego, CA, United States
Duration: 2012 Aug 122012 Aug 13

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8514
ISSN (Print)0277-786X

Other

OtherSatellite Data Compression, Communications, and Processing VIII
CountryUnited States
CitySan Diego, CA
Period12/8/1212/8/13

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Youn, S., & Lee, C. (2012). Automotive camera quality measurements based on stability, contrast and intensity metrics in text regions. In Satellite Data Compression, Communications, and Processing VIII [851409] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8514). https://doi.org/10.1117/12.943228