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A Technology for Multiscale Edge Estimation, Data Compression and Pattern Matching based on the concept of Laplacian and Gaussian Pyramids

by Archana R Priyadarshini
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 110 - Number 10
Year of Publication: 2015
Authors: Archana R Priyadarshini
10.5120/19353-1024

Archana R Priyadarshini . A Technology for Multiscale Edge Estimation, Data Compression and Pattern Matching based on the concept of Laplacian and Gaussian Pyramids. International Journal of Computer Applications. 110, 10 ( January 2015), 19-24. DOI=10.5120/19353-1024

@article{ 10.5120/19353-1024,
author = { Archana R Priyadarshini },
title = { A Technology for Multiscale Edge Estimation, Data Compression and Pattern Matching based on the concept of Laplacian and Gaussian Pyramids },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 110 },
number = { 10 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 19-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume110/number10/19353-1024/ },
doi = { 10.5120/19353-1024 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:46:00.796489+05:30
%A Archana R Priyadarshini
%T A Technology for Multiscale Edge Estimation, Data Compression and Pattern Matching based on the concept of Laplacian and Gaussian Pyramids
%J International Journal of Computer Applications
%@ 0975-8887
%V 110
%N 10
%P 19-24
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image pyramid provides multi-resolutional format that mirrors multiple scales of processing in the human visual system. Pyramid construction tends to enhance image features, such as edges, which are important for interpretation. Gaussian pyramid techniques are efficiently used for multi-scale edge estimation, to compute coarse scale images and also for finer details of the images . Laplacian pyramids methodology help in efficient compression and redundancy removal. The methodologies that are into picture helps to develop filter-based representations in order to decompose images into information at multiple scales, to extract features of interest and also in attenuating noise.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Multi-resolutional coarse image human visual system compression and redundancy removal bandpass

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