The influence of image compression on target acquisition

O. Hadar, E. Goldberg, E. Topchik

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

    Abstract

    With the increased use of multimedia technologies, image compression has become increasingly popular. Compression decreases the high demands for storage capacity and transmission bandwidth. However, when compressing an image, some part of the information is lost, since the compression smoothes high frequencies thereby distorting small details. This issue is crucial, especially in military, spying and medical systems. When planning these kinds of systems, the image compression quality must be considered as well as how it affects the mission performance carried out by the user. Our goal is to examine the behavior of the human eye during image scanning and try to quantify the effect of image compression on observer tasks such as target acquisition. For this task, we used the standard JPEG2000 in order to compress the images at different compression ratios ranging from 10% (the highest) to 100% (the original image). It was found that animation images were more influenced by compression than thermal images. In general, as the compression ratio increased the ability to acquire the targets decreased.

    Original languageEnglish
    Title of host publicationHuman Vision and Electronic Imaging XIII
    DOIs
    StatePublished - 31 Mar 2008
    EventHuman Vision and Electronic Imaging XIII - San Jose, CA, United States
    Duration: 28 Jan 200831 Jan 2008

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    Volume6806
    ISSN (Print)0277-786X

    Conference

    ConferenceHuman Vision and Electronic Imaging XIII
    Country/TerritoryUnited States
    CitySan Jose, CA
    Period28/01/0831/01/08

    Keywords

    • Fixation
    • Image compression
    • Informative areas
    • Target acquisition

    ASJC Scopus subject areas

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

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