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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