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Soft Computing Approach for Image Contrast Enhancement for Improving Image Visuality

Mehzabeen Kaur1

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-9 , Page no. 525-528, Sep-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i9.525528

Online published on Sep 30, 2018

Copyright © Mehzabeen Kaur . 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: Mehzabeen Kaur, “Soft Computing Approach for Image Contrast Enhancement for Improving Image Visuality,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.525-528, 2018.

MLA Style Citation: Mehzabeen Kaur "Soft Computing Approach for Image Contrast Enhancement for Improving Image Visuality." International Journal of Computer Sciences and Engineering 6.9 (2018): 525-528.

APA Style Citation: Mehzabeen Kaur, (2018). Soft Computing Approach for Image Contrast Enhancement for Improving Image Visuality. International Journal of Computer Sciences and Engineering, 6(9), 525-528.

BibTex Style Citation:
@article{Kaur_2018,
author = { Mehzabeen Kaur},
title = {Soft Computing Approach for Image Contrast Enhancement for Improving Image Visuality},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2018},
volume = {6},
Issue = {9},
month = {9},
year = {2018},
issn = {2347-2693},
pages = {525-528},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2902},
doi = {https://doi.org/10.26438/ijcse/v6i9.525528}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i9.525528}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2902
TI - Soft Computing Approach for Image Contrast Enhancement for Improving Image Visuality
T2 - International Journal of Computer Sciences and Engineering
AU - Mehzabeen Kaur
PY - 2018
DA - 2018/09/30
PB - IJCSE, Indore, INDIA
SP - 525-528
IS - 9
VL - 6
SN - 2347-2693
ER -

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Abstract

The image enhancement is the well-known concept among the researchers as in the area of image enhancement a lot of work has been done by several authors but also more amendments can be done. In the image enhancement method not only a large number of techniques but also some ways to enhance the image are existed. The contrast enhancement or to improve the brightness of the image is one of the way to improve the quality of the image. This study develops a new approach for image contrast enhancement by considering HSI colour model and fuzzy inference system to improve the intensity of the image pixels. The simulation is done by taking a set of four different images into an account. The simulation results with respect to the Detail Variance and Background Variance of the images describes that the proposed work performs outstanding comparative to the traditional methods that are GLE, Enhanced AHE and original image.

Key-Words / Index Term

Image Enhancement, Contrast Enhancement, Color Model, HIS Model, Fuzzy Inference Model

References

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