Compressing similar image sets using low frequency template

Chi Ho YEUNG, Oscar C. AU, Ketan TANG, Zhiding YU, Enming LUO, Yannan WU, Shing Fat TU

Research output: Chapter in Book/Report/Conference proceedingChapter

20 Citations (Scopus)

Abstract

In advance of the imaging capturing technology, large amount of similar images are created. Instead of compressing each similar image individually, removing the inter-image redundancy would reduce the storage and transmission time. However, only a few set redundancy methods are proposed to deal with the problem. In this paper, a new method was derived from a theoretical model by extracting the low frequency in an image set. For the similar images, the values of their low frequency components are very close to that of their neighboring pixel in the spatial domain. In our model, a low frequency template is created and used as a prediction for each image to compute its residue. This model proves the reduction in the entropy and hence the bit rates. Experiments were conducted and proved there were up to 30% gains over the existing methods. Copyright © 2011 IEEE.

Original languageEnglish
Title of host publicationProceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781612843506, 9781612843490
ISBN (Print)9781612843490
DOIs
Publication statusPublished - 2011

Fingerprint

Redundancy
Entropy
Pixels
Imaging techniques
Experiments

Citation

Yeung, C.-H., Au, O. C., Tang, K., Yu, Z., Luo, E. , Wu, Y., & Tu, S. F. (2011). Compressing similar image sets using low frequency template. In Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011. doi: 10.1109/ICME.2011.6011954

Keywords

  • Image compression
  • Set redundancy compression