A new image decomposition and reconstruction approach -- adaptive fourier decomposition

Can He, Liming Zhang, Xiangjian He, Wenjing Jia

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)


Fourier has been a powerful mathematical tool for representing a signal into an expression consist of sin and cos. Recently a new developed signal decomposition theory is proposed by Pro. Tao Qian named Adaptive Fourier Decomposition, which has the advantage in time frequency over Fourier decomposition and without the need for a fixed window size problem such as short-time frequency transform. Studies show that AFD can fast decompose signals into positive-frequency functions with good analytical properties. In this paper we apply AFD into image decomposition and reconstruction area first time in the literature, which shows a promising result and gives the fundamental prospect for image compression.

Original languageEnglish
Title of host publicationMultiMedia Modeling - 21st International Conference, MMM 2015, Proceedings
EditorsXiangjian He, Dacheng Tao, Muhammad Abul Hasan, Suhuai Luo, Changsheng Xu, Jie Yang
PublisherSpringer Verlag
Number of pages10
ISBN (Electronic)9783319144412
Publication statusPublished - 2015
Externally publishedYes
Event21st International Conference on MultiMedia Modeling, MMM 2015 - Sydney, Australia
Duration: 5 Jan 20157 Jan 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference21st International Conference on MultiMedia Modeling, MMM 2015


  • Adaptive fourier decomposition
  • Image compression
  • Image decomposition
  • Mono-components
  • Signal processing

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)


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