Effective Image Denoising Technique using Optimistic Decision Based Trimmed Filter

Authors

  • Nisha Kumari M.Tech. Student, Department of Computer Science Engineering, ARNI University, Kathgarh, India
  • Anurag Thakur Research/Faculty Member, Department of Computer Science Engineering, ARNI University, Kathgarh, India

Keywords:

digital image processing, types of noises, file formats

Abstract

Digital Image Processing involves the variation of digital data for improving the qualities of image with the support of computer. The use of decision based trimming of noisy pixels is ignored in the existing literature. Also the effects of different kind of noises are also ignored. The use of level shifting for correcting the borders and preserving the edges are also not considered. Recently much work is done in the different fields like medical, remote sensing, military applications etc. to improve the visibility of digital images. Many algorithms have been proposed so far for enhancing the digital images. It has been found that the most of the existing researchers have neglected many issues; i.e. no technique is accurate for different kind of circumstances.

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Published

01-08-2021

Issue

Section

Articles

How to Cite

[1]
N. Kumari and A. Thakur, “Effective Image Denoising Technique using Optimistic Decision Based Trimmed Filter”, IJRESM, vol. 4, no. 7, pp. 358–363, Aug. 2021, Accessed: Dec. 21, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/1112