Hybrid Model Approach for Impulsive Noise Removal Image Enhancement Techniques

Authors

  • Verma P Dept. of Computer Science and Engineering, Babasaheb Bhimrao Ambedkar University , Lucknow, India`
  • Kurmi J Dept. of Computer Science and Engineering, Babasaheb Bhimrao Ambedkar University , Lucknow, India

DOI:

https://doi.org/10.26438/ijcse/v6i5.832834

Keywords:

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

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).

References

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Published

2025-11-13
CITATION
DOI: 10.26438/ijcse/v6i5.832834
Published: 2025-11-13

How to Cite

[1]
P. Verm and J. Kurmi, “Hybrid Model Approach for Impulsive Noise Removal Image Enhancement Techniques”, Int. J. Comp. Sci. Eng., vol. 6, no. 5, pp. 832–834, Nov. 2025.

Issue

Vol. 6 No. 5 (2018): IJCSE May Edition

Section

Research Article

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