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A Significant Assessment of Image Fusion Techniques and its Performance Matrices

P. Suresh Babu1

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-08 , Page no. 64-66, Oct-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6si8.6466

Online published on Oct 31, 2018

Copyright © P. Suresh Babu . 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: P. Suresh Babu, “A Significant Assessment of Image Fusion Techniques and its Performance Matrices,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.08, pp.64-66, 2018.

MLA Style Citation: P. Suresh Babu "A Significant Assessment of Image Fusion Techniques and its Performance Matrices." International Journal of Computer Sciences and Engineering 06.08 (2018): 64-66.

APA Style Citation: P. Suresh Babu, (2018). A Significant Assessment of Image Fusion Techniques and its Performance Matrices. International Journal of Computer Sciences and Engineering, 06(08), 64-66.

BibTex Style Citation:
@article{Babu_2018,
author = {P. Suresh Babu},
title = {A Significant Assessment of Image Fusion Techniques and its Performance Matrices},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2018},
volume = {06},
Issue = {08},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {64-66},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=476},
doi = {https://doi.org/10.26438/ijcse/v6i8.6466}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i8.6466}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=476
TI - A Significant Assessment of Image Fusion Techniques and its Performance Matrices
T2 - International Journal of Computer Sciences and Engineering
AU - P. Suresh Babu
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 64-66
IS - 08
VL - 06
SN - 2347-2693
ER -

           

Abstract

The main aim of image fusion (IF) is to integrate complementary multisensor, multitemporal and/or multiview information into one new image containing information the quality of which cannot be achieved otherwise. The need of image fusion for high resolution on panchromatic and multispectral images or real world images for better vision. There are various methods of image fusion and some techniques of image fusion such as IHS, PCA, DWT, Laplacian pyramids, Gradient Pyramids, DCT, SF. Several digital image fusion algorithms have been developed in a number of applications. Image fusion extracts the information from several images of a given scene to obtain a final image which has more information for human visual perception and become more useful for additional vision processing. Various performance matrices that used for the evolution of image fusion are Entropy, Standard Deviation, Peak Signal to Noise Ratio (PSNR), and etc.

Key-Words / Index Term

Image fusion, Fused image, Discrete Wavelet Transform, Entropy, PSNR

References

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