A Comparative Study of Recent Image Denoising Techniques

R  Jayadevan; K.A.Navas; Anjali Ananthan

CALL FOR PAPERS : Mar-2023

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25-Mar-23

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A Comparative Study of Recent Image Denoising Techniques

Author(s):

R Jayadevan , Sreepathy Institute of Management and Technology, Vavanoor; K.A.Navas, LBS College of Engineering Kasargode; Anjali Ananthan, Thejus Engineering College

Keywords:

AWGN, IMF1, IMF2, Impulse Noise, Multiplicative Noise, Multiplicative Noise, Noise Reduction, SBM, SDWF

Abstract:

This paper presents a review of recent algorithms for noise reduction in images. The techniques discussed here deals with the impulse, multiplicative and Gaussian noise. Image fusion technique is employed as a general model for impulse noise meanwhile the static based median filter is mentioned for the salt and pepper noise reduction. Multiplicative noise reduction techniques involve the application of adaptive windowing along with Lee filtering. Additive White Gaussian Noise reduction made use of a new technique called Sliding double window filtering, which is a frequency domain concept. Fibonacci Fourier Transform is used in this technique. The simulation results and the quantitative analysis show that these techniques possess good edge preserving as well as noise suppression capability.