Reference : Two-dimensional fractional linear prediction

	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/40754

Title :	Two-dimensional fractional linear prediction
Language :	English
Author, co-author :	Skovranek, Tomas [Technical University of Kosice (TUKE) > BERG Faculty]
	Despotovic, Vladimir [University of Belgrade > Technical Faculty in Bor]
	Peric, Zoran [University of Nis > Faculty of Electronic Engineering]
Publication date :	Jul-2019
Journal title :	Computers and Electrical Engineering
Publisher :	Elsevier
Volume :	77
Pages :	37-46
Peer reviewed :	Yes
Audience :	International
ISSN :	0045-7906
e-ISSN :	1879-0755
City :	New York
Country :	United Kingdom
Keywords :	[en] Fractional calculus ; Image compression ; Linear prediction ; Intra prediction ; Multidimensional signal processing
Abstract :	[en] Linear prediction (LP) has been applied with great success in coding of one-dimensional, time-varying signals, such as speech or biomedical signals. In case of two-dimensional signal representation (e.g. images) the model can be extended by applying one-dimensional LP along two space directions (2D LP). Fractional linear prediction (FLP) is a generalisation of standard LP using the derivatives of non-integer (arbitrary real) order. While FLP was successfully applied to one-dimensional signals, there are no reported implementations in multidimensional space. In this paper two variants of two-dimensional FLP (2D FLP) are proposed and optimal predictor coefficients are derived. The experiments using various grayscale images confirm that the proposed 2D FLP models are able to achieve comparable performance in comparison to 2D LP using the same support region of the predictor, but with one predictor coefficient less, enabling potential compression.
Funders :	Ministry of Education, Science and Technological Development of the Republic of Serbia; Slovak Research and Development Agency; Slovak Grant Agency for Science; COST Action
Permalink :	http://hdl.handle.net/10993/40754
DOI :	10.1016/j.compeleceng.2019.04.021
Other URL :	https://www.sciencedirect.com/science/article/pii/S0045790619301338

	File(s) associated to this reference
	Fulltext file(s): File Commentary Version Size Access Limited access Skovranek_Despotovic_Peric.pdf Author postprint 19.7 MB Request a copy

All documents in ORBi^lu are protected by a user license.

 

University of Luxembourg Library |  Feedback |  Legal notices Site Map