Image compression using derivative information with Distance Transforms

Leena Ikonen, Ville Kyrki, Pekka J. Toivanen, Heikki Kälviäinen

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

1 Citation (Scopus)

Abstract

In this paper, a new image compression method is presented using the Distance Transform on Curved Space (DTOCS) and derivative information in finding positions for control points. In previous work it has been shown that the control points are not in exactly optimal positions. This paper presents theoretical considerations according to which the new method enhances the decompressed image quality particularly in the areas of rapid changes. The obtained results shown verify the correctness of the theoretical considerations. The reconstructed image quality is clearly better measured by error criteria. Also visually the difference is significant.

Original languageEnglish
Title of host publicationEuropean Signal Processing Conference
PublisherIEEE
Number of pages4
ISBN (Print) 978-952-1504-43-3
Publication statusPublished - 31 Mar 2015
MoE publication typeA4 Article in a conference publication
EventEuropean Signal Processing Conference - Tampere, Finland
Duration: 4 Sep 20008 Sep 2000
Conference number: 10

Conference

ConferenceEuropean Signal Processing Conference
Abbreviated titleEUSIPCO
CountryFinland
CityTampere
Period04/09/200008/09/2000

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  • Cite this

    Ikonen, L., Kyrki, V., Toivanen, P. J., & Kälviäinen, H. (2015). Image compression using derivative information with Distance Transforms. In European Signal Processing Conference [7075378] IEEE.