Comparative Study of Image Denoising Algorithms in Digital Image Processing

Authors

  • Hans A Student, Lovely Professional University
  • Pushkarna G Department of Computer Science and Engineering, COD at Lovely Professional University, Amritsar, India

Keywords:

Visu Shrink method, Sure Shrink method, Base Shrink thresholding model

Abstract

This paper proposes a basic scheme for understanding the fundamentals of digital image processing and the image denising algorithm. There are three basic operation categorized on during image processing i.e. image rectification and restoration, enhancement and information extraction. Image denoising is the basic problem in digital image processing. The main task is to make the image free from Noise. Salt & pepper (Impulse) noise and the additive white Gaussian noise and blurredness are the types of noise that occur during transmission and capturing. For denoising the image there are some algorithms which denoise the image.

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Published

2024-02-26

How to Cite

Hans, A., & Pushkarna, G. (2024). Comparative Study of Image Denoising Algorithms in Digital Image Processing. COMPUSOFT: An International Journal of Advanced Computer Technology, 3(05), 788–792. Retrieved from https://ijact.in/index.php/j/article/view/140

Issue

Section

Review Article

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