Self-similarity of the multiresolutional image/video decomposition: smart expansion as compression of still and moving pictures

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The paper introduces a new combined fractal/multiresolutional image compression based on the observed property of self-similarity of the pyramidal image transform. The gist of the method is zooming out from a (possibly shrunken) low-resolution image producing a sharp ans crisp 'natural looking' high-resolution view, without blockiness and jaggedness. It is demonstrated that the technique possesses features of preserving thinness of lines on expansion, translational invariance and providing a perfect high-resolution representation of the gradient fill. The multiresolutional transform algorithms and 'smart image magnification developed for still images have been generalized to deal with moving pictures as a three-dimensional, spatio-temporal frame sequence, which permits rapid compression, smooth motion interpolation, and has potential for use in video transmission in real time.

Original languageEnglish
Title of host publicationProceedings of the Data Compression Conference
EditorsJames A. Storer, Martin Cohn
PublisherPubl by IEEE
Pages331-340
Number of pages10
ISBN (Print)0818656379
Publication statusPublished - 1994 Jan 1
Externally publishedYes
EventProceedings of the Data Compression Conference - Snowbird, UT, USA
Duration: 1994 Mar 291994 Mar 31

Other

OtherProceedings of the Data Compression Conference
CitySnowbird, UT, USA
Period94/3/2994/3/31

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Self-similarity of the multiresolutional image/video decomposition: smart expansion as compression of still and moving pictures'. Together they form a unique fingerprint.

Cite this