A Critical Performance Evaluation of Classification Methods with Modified JPEG Decompressed Multiband Images

Ch. Ramesh; Dr. N.B. Venkateswarlus; Dr. J.V.R. Murthy

A Critical Performance Evaluation of Classification Methods with Modified JPEG Decompressed Multiband Images

Ch. Ramesh * §

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Dr. N.B. Venkateswarlus

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Dr. J.V.R. Murthy

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§ Aditya Institute of Technology and Management/JNTUK

A Critical Performance Evaluation of Classification Methods with Modified JPEG Decompressed Multiband Images

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Abstract

Effective utilization of bandwidth andstorage space is important in imaging applicationsincluding remote sensing. Remote sensingapplications use multi-sensory, multiband, multiresolution images. Usually, remote sensingapplications uses image classification results fortheir analysis and decision making. In this paper wepropose a new JPEG based image compressionalgorithm based on filters. Proposed algorithmperformance is evaluated in relation to conventionalJPEG algorithm. In order to envisage the effect ofcompression on classification performance, MaximumLikelihood, Mahalanobis and Euclidean distanceclassifiers performance is evaluated with originalimage data, conventional JPEG compressed data andthe compressed image data with the proposedmethod. Experiments are carried out with manymulti-band images. Our experiments supports thatthe classification accuracies of compressed imagesare at par with original image data.

References

12 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ch. Ramesh, Dr. N.B. Venkateswarlus, Dr. J.V.R. Murthy. 2014. "A Critical Performance Evaluation of Classification Methods with Modified JPEG Decompressed Multiband Images". Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 13 (GJRE Volume 13 Issue F16).

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GJRE Volume 13 Issue F16

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

Confusion matrix euclidean filters joint photo experts group (jpeg)kappa coefficient mahalanobis maximum likelihood

Classification

GJRE-F Classification FOR Code: 090699

Submission ReceivedDecember 15, 2012
Peer Review Double Blind
Handling Editor
Accepted January 1, 2013
Published January 15, 2013

Version of record

v1.2

Issue date

January 24, 2014

Language

English

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Article Matrices

Total Score: 113

Country: India

Subject: Global Journal of Research in Engineering

Authors: Ch. Ramesh, Dr. N.B. Venkateswarlus, Dr. J.V.R. Murthy (PhD/Dr. count: 2)

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