Treffer: Adaptive multi-level 2D Karhunen-Loeve-based transform for still images

Title:
Adaptive multi-level 2D Karhunen-Loeve-based transform for still images
Authors:
KOUNTCHEV, Roumen K, NAKAMATSU, Kazumi
Source:
International journal of reasoning-based intelligent systems (Print). 6(1-2):49-58
Publisher Information:
Genève: Inderscience, 2014.
Publication Year:
2014
Physical Description:
print, 1/4 p
Original Material:
INIST-CNRS
Subject Terms:
Cognition, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Informatique théorique, Theoretical computing, Algorithmique. Calculabilité. Arithmétique ordinateur, Algorithmics. Computability. Computer arithmetics, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Algorithme récursif, Recursive algorithm, Algoritmo recursivo, Code bloc, Block code, Código bloque, Complexité calcul, Computational complexity, Complejidad computación, Image demi teinte, Half tone image, Imagen medio tinte, Image fixe, Fixed image, Imagen fija, Image numérique, Digital image, Imagen numérica, Méthode adaptative, Adaptive method, Método adaptativo, Traitement image, Image processing, Procesamiento imagen, Traitement parallèle, Parallel processing, Tratamiento paralelo, Transformation Karhunen Loeve, Karhunen Loeve transformation, Transformación Karhunen Loeve, Vision ordinateur, Computer vision, Visión ordenador, Décorrélation, Decorrelation, Descorrelación, adaptive multilevel Karhunen-Loeve-based transform, block 2D Karhunen-Loeve transform, computational complexity evaluation, recursive algorithm for processing of halftone images
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Radio Communications and Video Technologies, Technical University of Sofia, Bul. Kl. Ohridsky 8, Sofia 1000, Bulgaria
School of Human Science and Environment, University of Hyogo, Himeji 670-0092, Japan
ISSN:
1755-0556
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=29139506
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.29139506
Database:
PASCAL Archive

Weitere Informationen

In this work is presented one new approach for block processing of halftone images, based on the adaptive multilevel Karhunen-Loeve (KL) transform. For this, the rows and the columns of the digital image blocks are processed sequentially, using KL matrices of size 2 × 2. As a result, each row of the processed block obtained one vector. The vector components are rearranged in correspondence to their mutual correlation, starting from the highest. After that, on all vectors is applied the next transform level, etc. When the transform for the rows is finished, the processing is executed in a similar way for the columns. The result obtained strong spatial decorrelation of the image blocks elements. The basic advantages of the new algorithm to the famous 2D KL transform are the lower computational complexity and the simplified structure, which offer better opportunities for parallel and recursive image processing.