International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

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IMAGE DENOISING METHOD BASED ON DERIVATIVES OF FRACTIONAL ORDER

    2 Author(s):  DR. KAMLESH KUMAR SAINI ,MR. SHYAM PRAKASH

Vol -  15, Issue- 4 ,         Page(s) : 624 - 631  (2024 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

In this paper we propose a new approach for image denoising based on the combination of PM model, isotropic diffusion model, and TV model. To emphasize the superiority of the proposed model, we have used the Structural Similarity Index Measure (SSIM) and Peak Signal to Noise Ratio

Guo, H., Li, X., Qing-li, C., & Ming-rong, W. (2012, May). Image denoising using fractional integral. 2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE). https://doi.org/10.1109/csae.2012.6272738
Jun, Z., & Zhihui, W. (2011, May). A class of fractional-order multi-scale variational models and alternating projection algorithm for image denoising. Applied Mathematical Modelling, 35(5), 2516–2528. https://doi.org/10.1016/j.apm.2010.11.049

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