@inproceedings{2fc15f5f3f7f40ee809607ad824dd25b,
title = "A new image decomposition and reconstruction approach -- adaptive fourier decomposition",
abstract = "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.",
keywords = "Adaptive fourier decomposition, Image compression, Image decomposition, Mono-components, Signal processing",
author = "Can He and Liming Zhang and Xiangjian He and Wenjing Jia",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 21st International Conference on MultiMedia Modeling, MMM 2015 ; Conference date: 05-01-2015 Through 07-01-2015",
year = "2015",
doi = "10.1007/978-3-319-14442-9_20",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "227--236",
editor = "Xiangjian He and Dacheng Tao and Hasan, {Muhammad Abul} and Suhuai Luo and Changsheng Xu and Jie Yang",
booktitle = "MultiMedia Modeling - 21st International Conference, MMM 2015, Proceedings",
address = "Germany",
}