Image compression and retrieval using hilbert curve

Noritatsu Matsuo*, Sei Ichiro Kamata, Kazuyuki Tsuneyoshi

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review


Huge amount of high resolution satellite images for remote sensing are available in a couple of decades. Image compression method is required or highly desired in this task. Image coding standards such as JPEG and MPEG are widely used for compressing these images. However, JPEG (or MPEG) compressed data stream can not be processed without decoding. In this paper, we concentrate on image compression and retrieval without decoding by using Hilbert curve. Hubert curve is one of space filling curves which pass through all points in a space. The merits of our compression method is that (1) the compression ratio is almost equivalent to JPEG2000, (2) the computation is quite simple, (3) the required memory is rather small. This paper presents that our compression algorithm can be utilized for image retrieval from image database without decoding the compressed data stream. The block color histogram generated from the compressed data stream is used to compute the similarity measure between two images. The experimental results show that our approaches achieve better performance than conventional methods.

Original languageEnglish
Number of pages6
Publication statusPublished - 2005 Dec 1
EventInternational Astronautical Federation - 56th International Astronautical Congress 2005 - Fukuoka, Japan
Duration: 2005 Oct 172005 Oct 21


ConferenceInternational Astronautical Federation - 56th International Astronautical Congress 2005

ASJC Scopus subject areas

  • Space and Planetary Science
  • Aerospace Engineering


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