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Comparative Assessment of Color Models for Multi-Focus Image Fusion With Optimal Cluster Size

J.R.Dharmaraj 1 , D.C.Durairaj 2 , J.J.Melodina 3

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-9 , Page no. 398-403, Sep-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i9.398403

Online published on Sep 30, 2018

Copyright © J.R.Dharmaraj, D.C.Durairaj, J.J.Melodina . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: J.R.Dharmaraj, D.C.Durairaj, J.J.Melodina, “Comparative Assessment of Color Models for Multi-Focus Image Fusion With Optimal Cluster Size,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.398-403, 2018.

MLA Style Citation: J.R.Dharmaraj, D.C.Durairaj, J.J.Melodina "Comparative Assessment of Color Models for Multi-Focus Image Fusion With Optimal Cluster Size." International Journal of Computer Sciences and Engineering 6.9 (2018): 398-403.

APA Style Citation: J.R.Dharmaraj, D.C.Durairaj, J.J.Melodina, (2018). Comparative Assessment of Color Models for Multi-Focus Image Fusion With Optimal Cluster Size. International Journal of Computer Sciences and Engineering, 6(9), 398-403.

BibTex Style Citation:
@article{_2018,
author = {J.R.Dharmaraj, D.C.Durairaj, J.J.Melodina},
title = {Comparative Assessment of Color Models for Multi-Focus Image Fusion With Optimal Cluster Size},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2018},
volume = {6},
Issue = {9},
month = {9},
year = {2018},
issn = {2347-2693},
pages = {398-403},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2880},
doi = {https://doi.org/10.26438/ijcse/v6i9.398403}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i9.398403}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2880
TI - Comparative Assessment of Color Models for Multi-Focus Image Fusion With Optimal Cluster Size
T2 - International Journal of Computer Sciences and Engineering
AU - J.R.Dharmaraj, D.C.Durairaj, J.J.Melodina
PY - 2018
DA - 2018/09/30
PB - IJCSE, Indore, INDIA
SP - 398-403
IS - 9
VL - 6
SN - 2347-2693
ER -

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Abstract

This paper assesses comparatively the performance of image fusion in different color channels using an image matting based multi focus image fusion technique, the JR method. This is a solely vicinity-based image matting algorithm that relies on the close pixel clusters in the input images. Color spaces provide powerful information for image processing by means of color variants, color histogram, color texture etc.. In our assessment, firstly we transform RGB color model of multi focus source images in to 6 different color spaces that are HSV, L*a*b, YUV, YIQ, YCbCr and XYZ. Next, each color channel of input images (RGB-R, RGB-G, RGB-B, LAB-L, LAB-A, LAB-B, HSV-H, HSV-S, HSV-V, YUV-Y,YUV-U, YUV-V, XYZ-X, XYZ-Y,XYZ-Z, YCbCr-Y, YCbCr-Cb, YCbCr –Cr, YIQ-Y, YIQ-I, YIQ-Q) are used in fusion process using the image matting based multi focus image fusion with optimal cluster size (the JR method). Finally the fused images are assessed with standard image quality metrics. The results certainly show better results in LAB-L and YIQ-Q color channals.

Key-Words / Index Term

Color spaces, Multi focus image fusion, image color models, color image fusion

References

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