Width reduction in panoramic images by entropy equalization

Yusuke Matsushimat, Kohei Inoue, Kiichi Urahan

    Research output: Contribution to journalArticlepeer-review


    We describe a method for reducing the width of panoramic images with high aspect ratios on the basis of the entropy in local color histograms computed for each column in the images. We equalize the entropy for the width of a panoramic image, thereby widening the regions that have high entropy values and narrowing the regions that have low entropy values. Our experimental results show that this method can reduce the width of panoramic images more effectively and more quickly than the seam carving method presented by Avidan et al.

    Original languageEnglish
    Pages (from-to)1833-1835
    Number of pages3
    JournalKyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
    Issue number11
    Publication statusPublished - Nov 2008

    All Science Journal Classification (ASJC) codes

    • Media Technology
    • Computer Science Applications
    • Electrical and Electronic Engineering

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