An Optimal Filter Selection on Grey Scale Image for De-Noising by using Fuzzy Technique

Authors

  • Sunil Kumar Assistant Professor, Department of Computer Science & Computer Science, Central University of Haryana, Mahendegarh
  • Ashok Kumar Associate Professor, Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation, GreenField, Vaddeswaram, Guntur, AP ,india
  • Nishtha Parashar Assistant Professor, Department of Computer Science & Engineering, Amity School of Engineering and Technology, amity university, Gwalior Madhya Pradesh, india
  • Jhankar Moolchandani Assistant Professor, Department of Computer Science & Engineering, Amity School of Engineering and Technology, amity university, Gwalior Madhya Pradesh, india
  • Ashish Saini Research Scholar, Department of Computer Science & Applications, M.D. University, Rohtak
  • Rahul Kumar Associate Professor, Department of Computer Science & Engineering, Amity School of Engineering and Technology, amity university, Gwalior Madhya Pradesh, india
  • Mohit Yadav Department of Mathematics, University Institute of Sciences, Chandigarh University, 140413,India
  • Khuswant Singh Research Scholar, Department of Computer Science & Engineering, UIET, M.D. University, Rohtak, India-124001
  • Yogendra Mena Assistant Professor, School of Computer and Systems Sciences Jawaharlal Nehru University, New Delhi

Keywords:

Image Denoising, Decision Making, Image Quality, Impulse Noise, Salt and Pepper Noise

Abstract

Images are helpful in applications like denoising, computer vision, and pattern recognition. The poor-quality images impacts image quality enhancement and assessment. For enhancing images, denoising techniques are utilized to improve the quality of the image. In denoising process, the algorithm's running time and preservation of visual features are significant issues. However several recent contributions exist, but efficiency is a crucial issue with those techniques. Therefore, the current paper proposes an adaptive decision filter selection technique, which selects the optimal Laplacian operator. The utilization of appropriate operators improves image quality and reduces the overhead of repetitive operator selection-based techniques. An Adoptive Image Quality Feedback (AIQF) has been involved, which is used to select the optimal filter based on noise availability and consequently, it guarantees optimal image quality. The simulation on MATLAB has been carried out with the publically available datasets. The experimental results indicate that AIQF based technique outperforms similar noise removal techniques. Thus, the AIQF-based technique has been compared with similar algorithms. The peak signal-to-noise ratio (PSNR), structural similarity (SSIM) matrix and Mean square error (MSE) are used for performance evaluation. Based on the comparison, the proposed technique reduces denoising time and demonstrates the superiority of the proposed AIQF-based methods.

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Published

24.03.2024

How to Cite

Kumar, S. ., Kumar, A. ., Parashar, N. ., Moolchandani, J. ., Saini, A. ., Kumar, R. ., Yadav, M. ., Singh, K. ., & Mena, Y. . (2024). An Optimal Filter Selection on Grey Scale Image for De-Noising by using Fuzzy Technique. International Journal of Intelligent Systems and Applications in Engineering, 12(20s), 322–330. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5143

Issue

Vol. 12 No. 20s (2024)

Section

Research Article

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