Mathematical models for noise reduction in IoT image processing applications
*V. Dankan GowdaCorresponding authordankan.v@bmsit.inDepartment of Electronics and Communication EngineeringBMS Institute of Technology and ManagementBangalore, Karnataka, 560119, IndiaView full profile → , Pratik Gitepratikgite135@gmail.comDepartment of Computer Science and EngineeringParul Institute of TechnologyParul UniversityVadodara, Gujrat, 391760, IndiaView full profile → , Nethravathi H. M.nethravathihm@bgsit.ac.inDepartment of Electronics and Communication EngineeringBGS Institute of TechnologyAdichunchanagiri UniversityB. G. Nagara, Karnataka, 571448, IndiaView full profile → , Prasanna Kumar Lakinenilpk.lakineni@gmail.comDepartment of Computer Science and EngineeringKoneru Lakshmaiah Education FoundationVaddeswaram, Andhra Pradesh, 522502, IndiaView full profile → , K.D.V. Prasadkdv.prasad@sibmhyd.edu.inAffiliation 1Department of ResearchSymbiosis Institute of Business ManagementHyderabad, Telangana, 509217, IndiaAffiliation 2Symbiosis International (Deemed University)Pune, Maharashtra, 412115, IndiaView full profile → , Shyamsunder ChittaShyam.Chitta@sibmhyd.edu.inAffiliation 1Department of FinanceSymbiosis Institute of Business ManagementHyderabad, Telangana, 509217, IndiaAffiliation 2Symbiosis International (Deemed University)Pune, Maharashtra, 412115, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 10 Dec 2024
- Published Online:
- 30 Sep 2025
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIM-2371
- Pages:
- 2289–2299
Abstract
Keywords
Subject Classifications
References
[1] L. Yasenko, “Image noise reduction by denoising autoencoder,” in 2020 IEEE 11th Int. Conf. Dependable Systems, Services and Technologies (DESSERT), Kyiv, Ukraine, pp. 351-355, (2020).
[2] R. R. Chand, M. Farik, and N. A. Sharma, “Digital image processing using noise removal technique: A non-linear approach,” in 2022 IEEE Asia-Pacific Conf. Comput. Sci. Data Eng. (CSDE), Gold Coast, Australia, pp. 1-5, (2022).
[3] B. Dhruv, N. Mittal, and M. Modi, “Analysis of different filters for noise reduction in images,” in 2017 Recent Developments in Control, Automation & Power Engineering (RDCAPE), Noida, India, pp. 410-415, (2017).
[4] P. Podder and N. Q. Hung, “A comparative analysis of image denoising problem: Noise models, denoising filters and applications,” in Cognitive Internet of Medical Things for Smart Healthcare, A. E. Hassanien, A. Khamparia, D. Gupta, K. Shankar, and A. Slowik, Eds. Studies in Systems, Decision and Control, vol. 311, Springer, (2021).
[5] S. C., C. M. L., and M. A. Anusuya, “Noise cancellation and noise reduction techniques: A review,” in 2019 1st Int. Conf. Advances in Information Technology (ICAIT), Chikmagalur, India, pp. 159-166, (2019).
[6] M. Ramesh Kini and D. S. Sumam, “Wavelet based noise reduction techniques for real-time speech enhancement,” in 2018 5th Int. Conf. Signal Processing and Integrated Networks (SPIN), Noida, India, pp. 846-851, (2018).
[7] A. Pawar, “Noise reduction in images using autoencoders,” in 2020 3rd Int. Conf. Intelligent Sustainable Systems (ICISS), Thoothukudi, India, pp. 987-990, (2020).
[8] G. Manivasagam and K. D. V. Prasad, “Novel approaches to biometric security using enhanced session keys and elliptic curve cryptography,” J. Discrete Math. Sci. Cryptogr., vol. 27, no. 2-A, pp. 477–488, (2024).
[9] R. Kumar, S. Senthil, and K. D. V. Prasad, “Securing digital authentication with cryptographic innovations in intrinsic verification systems,” J. Discrete Math. Sci. Cryptogr., vol. 27, no. 2-A, pp. 317–328, (2024).
[10] T. Thiruvenkadam and K. D. V. Prasad, “Cryptographic image-based data security strategies in wireless sensor networks,” J. Discrete Math. Sci. Cryptogr., vol. 27, no. 2-A, pp. 293–304, (2024).
[11] P. Sarma and M. Rahman, “Mathematical analysis of wavelet-based multi-image compression in medical diagnostics,” J. Discrete Math. Sci. Cryptogr., vol. 27, no. 2-B, pp. 675–687, (2024).
[12] S. Kumar and A. Kumar Gupta, “A novel approach of unsupervised feature selection using iterative shrinking and expansion algorithm,” J. Interdiscip. Math., vol. 26, no. 3, pp. 519-530, (2023).
[13] N. & Veera Sivakumar Chinamuttevi, “A novel RF-SMOTE model to enhance the definite apprehensions for IoT security attacks,” J. Discrete Math. Sci. Cryptogr., vol. 26, no. 3, pp. 861-873, (2023).
[14] R. Shekhar and A. Chaturvedi, “Securing networked image transmission using public-key cryptography and identity authentication,” J. Discrete Math. Sci. Cryptogr., vol. 26, no. 3, pp. 779-791, (2023).
[15] H. G. Govardhana Reddy and K. Raghavendra, “Vector space modelling-based intelligent binary image encryption for secure communication,” J. Discrete Math. Sci. Cryptogr., vol. 25, no. 4, pp. 1157-1171, (2022).
[16] M. R. Lone and A. K. Sandhu, “Enhancing image quality: A nearest neighbor median filter approach for impulse noise reduction,” Multimed. Tools Appl., vol. 83, pp. 56865–56881, (2024).
[17] V. Sharma and D. Soni, “Filtration based noise reduction technique in an image,” in 2019 4th Int. Conf. Internet of Things: Smart Innovation and Usages (IoT-SIU), Ghaziabad, India, pp. 1-6, (2019).
[18] P. White, O. Baumann, and A. De Stefano, “On improving the noise reduction algorithms using image segmentation,” in 2004 12th Eur. Signal Processing Conf., Vienna, Austria, pp. 501-504, (2004).




