Fractal coding of image sequence using extended circular prediction mapping

Chang Su Kim, Rin Chul Kim, Sang Uk Lee

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper proposes a novel algorithm for fractal coding of color image sequence, based on the extended CPM (Circular Prediction Mapping). In the extended CPM, each range block is approximated by a domain block in the adjacent frame, which is of the same size as the range block. Therefore the proposed domain-range mapping is similar to the block matching algorithm in the motion compensation techniques, and we can exploit the temporal correlation in moving image sequence effectively. Also we show that fast decoding is possible, since the decoder requires about 1 multiplication and 3 additions per pixel for each Y, U, V components. The computer simulation results on real image sequences demonstrate that the proposed algorithm provides very promising performance at low bit-rate.

Original languageEnglish
JournalEuropean Signal Processing Conference
Publication statusPublished - 2015
Externally publishedYes
Event8th European Signal Processing Conference, EUSIPCO 1996 - Trieste, Italy
Duration: 1996 Sep 101996 Sep 13

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Fractal coding of image sequence using extended circular prediction mapping'. Together they form a unique fingerprint.

Cite this