Intelligent Filtering Techniques for Reducing Various Noise in Image of Mango Leaves.

Authors

  • Harish S. Associate professor Department of ECE, R L Jalappa Institute of Technology, Doddaballapur India
  • Reshma Verma Assistant Professor Department Of ECE Ramaiah Institute of Technology Bangalore, India
  • G. K. Venkatesh Professor & HoD Department of ECE, C Byre Gowda Institute of Technology Kolar India
  • Lavanya Vaishnavi D. A. Assistant professor, dept of ECE R L Jalappa Institute of Technology, Doddaballapur. India
  • Anil Kumar C. Associate professor & HoD Department of ECE, R L Jalappa Institute of Technology, Doddaballapur. India

Keywords:

Adaptive Weiner Filter, denoising, Gaussian noise, Image processing, impulse Noise, Median Filters, Poisson Noise, Speckle noise, noise

Abstract

One of the greatest challenges in image processing is to remove noise from the image. Since ages, it is seen that reducing the noise level in the image as a greater challenge. The intelligent image processing has been equipped with the smart algorithms in this arena that can remove the noise and retrieve the image with its crucial results. That the distortion of the signals and the noise can be easily removed using the image processing algorithms. The application includes in the field of medical science, radar and satellite imaging as well. In this research article tries to find out which algorithm and the technique have better efficacy in removing the noise for a mango leaf image. To verify the functionality, the noise like poison, salt and pepper, Gaussian and speckle noise are considered. The image is verified with median average and adaptive weiner filters. The entropy and the time taken to execute are the performance parameters that are likely to be measured in research article. After removing the noises present in the mango leaf image, it can be further processed to identify disease present, if any.  

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References

Murat Alparson, Gungor and Irfan Karagoz, "The Effects of the Median Filter with Different Window Sizes for Ultrasound Images", Proc IEEE International Conference on Computer and Communications, pp 549-552,2016.

Chikako Abe and Tetsuya Shimamura, "Iterative Edge Preserving Adaptive Wiener Filter for Image De noising", International Journal of Computer and Electrical Engineering, Vol 4, No.4, pp 503-506, 2012.

Prajoy Podder and Md Mehedi Hasan," A Meta Study of Reduction of Speckle Noise Adopting Different Filtering Techniques, Proc IEEE International Conference of Electrical Engineering and Information Communication Technology, pp1-6, 2016.

G A Eninicke," iterative Filtering and Smoothing of Measurements Possessing Poisson Noise", IEEE Transactions on Aerospace and Electronic Systems, Vol 51, No. 3, pp 2205-2211, 2015.

Priyanka Punhani and Dr Naresh Kumar Garg," Noise removal in MR Images using Non-Linear Filters", Proc IEEE International Conference on Computing, Communication and Networking Technologies, pp1-6, 2015.

Jingdong Chen, Jacob Benesty, Yiteng Huang and Simon Doclo, "New insights into the Noise Reduction Wiener Filter". IEEE Transactions on Audio Speech and Language Processing. Vol 14, No 4, pp 1218-1234, 2006.

Teng Li, Bingbing Ni, Mengdi Xu, Meng Wang, Qingwei Gao and Shuicheg Yang, Data Driven Affective Filtering for Images and Videos", IEEE Transactions on Cybernetics, Vol 45, Issue 10, pp 2336-2349, 2015.

Yi Wang, Jiangyun Wang, Xiao Song and Liang Han, "An Efficient Adaptive Fuzzy Switching Weighted Mean Filter for Salt and Pepper Noise Removal", IEEE Signal Processing Letters, pp 1582-1586, 2016.

Sashikala Gurusamy and K Sidappa Naidu, " An Efficient De noising Method for Salt and Pepper Noise with Removal of Blur in an Original Image", Proc IEEE International Conference of Inventive Computation Technologies, Vol 3, pp 1-5, 2016.

Qiao Jihong, Chen Lei and Chen Yan, "A Method for Wide Density Salt and Pepper Noise Removal", Proc IEEE Control and Decision Conference, pp 2940-2943, 2014.

Isabel Rodrigues, Joa Sanches and Jose Bioucas Dias, "De noising of Medical Images Corrupted by Poisson Noise, Proc IEEE International Conference on Image Processing, pp 1756-1759, 2008.

Suhailo Sari, Hazlu Roslan and Tetsuya Shimamura, "Noise Estimation by Utilizing Mean Deviation of Smooth Region in Noisy Image", Proc IEEE International. Conference on Computational Intelligence, Modeling and Simulatiion, pp 232-236, 2012.

Fitri Utaminingrum, KeiichiaUchimura and Gou Koutaki, "High Density Impulse Noise Removal Based on Linear Median Filters". Proc IEEE Korean Japan Joint Workshop on Frontiers of Computer Vision, pp 11-17, 2013.

Kumar, D. ., & Sonia, S. (2023). Resources Efficient Dynamic Clustering Algorithm for Flying Ad-Hoc Network. International Journal on Recent and Innovation Trends in Computing and Communication, 11(2s), 106–117. https://doi.org/10.17762/ijritcc.v11i2s.6034

Prof. Prachiti Deshpande. (2016). Performance Analysis of RPL Routing Protocol for WBANs. International Journal of New Practices in Management and Engineering, 5(01), 14 - 21. Retrieved from http://ijnpme.org/index.php/IJNPME/article/view/43

Pande, S.D., Gudipalli, A., Joshi, R., Chaudhari, S., Dhabliya, D., Ahammad, S.K.H., Kale, S. D. A Fuzzy-Based Slip Resistive Controller for Front Wheel Drive Autonomous Electric Vehicle (2023) Electric Power Components and Systems, .

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Published

10.11.2023

How to Cite

S., H. ., Verma, R. ., Venkatesh, G. K. ., Vaishnavi D. A., L. ., & Kumar C., A. . (2023). Intelligent Filtering Techniques for Reducing Various Noise in Image of Mango Leaves . International Journal of Intelligent Systems and Applications in Engineering, 12(4s), 367–374. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3802

Issue

Vol. 12 No. 4s (2024)

Section

Research Article

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