Integrating IoT and Novel Approaches to Enhance Electromagnetic Image Quality using Modern Anisotropic Diffusion and Speckle Noise Reduction Techniques

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Published: Oct 27, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i9.8327
Keywords:
Internet of Things, Sensor, Electromagnetic, Noise reduction, Noise Suppression, Speckle Noise Reduction

Main Article Content

Shekhar R
Professor, Department of Computer science and Engineering, Alliance University, Bangalore, Karnataka, India
Mandeep Kaur
Assistant Professor, Department of Electronics and Communication Engineering, Punjabi University, Patiala, India
Manojkumar S B
Associate Professor, Department of Electronics & Communication Engineering, BGS Institute of Technology/ACU, B G Nagara, Mandya, Karnataka, India
Dankan Gowda V
Department of Electronics and Communication Engineering, BMS Institute of Technology and Management, Bangalore, Karnataka, India
Chanakya Kumar
Associate Professor, Faculty of Marketing, Indira School of Business Studies PGDM, Pune, Maharashtra, India
K. Praveena
Assistant Professor, Department of ECE, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College) Tirupati, Andra Pradesh, India

Abstract

Electromagnetic imaging is becoming more important in many sectors, and this requires high-quality pictures for reliable analysis. This study makes use of the complementary relationship between IoT and current image processing methods to improve the quality of electromagnetic images. The research presents a new framework for connecting Internet of Things sensors to imaging equipment, allowing for instantaneous input and adjustment. At the same time, the suggested system makes use of sophisticated anisotropic diffusion algorithms to bring out key details and hide noise in electromagnetic pictures. In addition, a cutting-edge technique for reducing speckle noise is used to combat this persistent issue in electromagnetic imaging. The effectiveness of the suggested system was determined via a comparison to standard imaging techniques. There was a noticeable improvement in visual sharpness, contrast, and overall clarity without any loss of information, as shown by the results. Incorporating IoT sensors also facilitated faster calibration and real-time modifications, which opened up new possibilities for use in contexts with a high degree of variation. In fields where electromagnetic imaging plays a crucial role, such as medicine, remote sensing, and aerospace, the ramifications of this study are far-reaching. Our research demonstrates how the Internet of Things (IoT) and cutting-edge image processing have the potential to dramatically improve the functionality and versatility of electromagnetic imaging systems.

Article Details

How to Cite
R, S., Kaur, M. ., S B, M. ., Gowda V, D. ., Kumar, C. ., & Praveena, K. . (2023). Integrating IoT and Novel Approaches to Enhance Electromagnetic Image Quality using Modern Anisotropic Diffusion and Speckle Noise Reduction Techniques. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9), 123–136. https://doi.org/10.17762/ijritcc.v11i9.8327
Issue
Vol. 11 No. 9 (2023)
Section
Articles

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