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Hybrid Model Approach for Impulsive Noise Removal Image Enhancement Techniques

Pratima Verma1 , Jitendra Kurmi2

  1. Dept. of Computer Science and Engineering, Babasaheb Bhimrao Ambedkar University , Lucknow, India.
  2. Dept. of Computer Science and Engineering, Babasaheb Bhimrao Ambedkar University , Lucknow, India.

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-5 , Page no. 832-834, May-2018

Online published on May 31, 2018

Copyright © Pratima Verma, Jitendra Kurmi . 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: Pratima Verma, Jitendra Kurmi, “Hybrid Model Approach for Impulsive Noise Removal Image Enhancement Techniques,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.832-834, 2018.

MLA Style Citation: Pratima Verma, Jitendra Kurmi "Hybrid Model Approach for Impulsive Noise Removal Image Enhancement Techniques." International Journal of Computer Sciences and Engineering 6.5 (2018): 832-834.

APA Style Citation: Pratima Verma, Jitendra Kurmi, (2018). Hybrid Model Approach for Impulsive Noise Removal Image Enhancement Techniques. International Journal of Computer Sciences and Engineering, 6(5), 832-834.

BibTex Style Citation:
@article{Verma_2018,
author = {Pratima Verma, Jitendra Kurmi},
title = {Hybrid Model Approach for Impulsive Noise Removal Image Enhancement Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {6},
Issue = {5},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {832-834},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2073},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2073
TI - Hybrid Model Approach for Impulsive Noise Removal Image Enhancement Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Pratima Verma, Jitendra Kurmi
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 832-834
IS - 5
VL - 6
SN - 2347-2693
ER -

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Abstract

In the world of digital image processing, image enhancements is a biggest challenge without losing any information of image, better visualization, edge prevention and provide better quality of the image etc. At the time of image processing, images are corrupted by different types of noises. Using noise removal techniques we have remove noises from the digital image. In this paper we discussed about the impulsive noise and techniques for removal of impulsive noise from digital image by proposed algorithm. The proposed algorithm “An Approach for Hybrid Impulsive Noise Image Enhancement Techniques” is a combination of two algorithms Modified Decision Based Unsymmertic Trimmed Median filter (MDBUTMF) and Fast Switching Based Median Filter for high Density Salt and Pepper noise (FSBMMF). It gives better Peak-Signal-to-Noise Ratio (PSNR) and Image Enhancement Factor (IEF).

Key-Words / Index Term

Digital image processing, Image enhancements, Impulsive noise, MDBUTMF, FSBMMF, PSNR, IEF)

References

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