Image Denoising Method using Oli-Shrink, A New Adaptive Wavelet Packet Thresholding Function

Dhanusha.S.S; Dr. M. SasiKumar

CALL FOR PAPERS : Feb-2026

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25-Feb-26

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Image Denoising Method using Oli-Shrink, A New Adaptive Wavelet Packet Thresholding Function

Author(s):

Dhanusha.S.S , Marian Engineering College, Trivandrum; Dr. M. SasiKumar, Marian Engineering College

Keywords:

Adaptive thresholding, image denoising, noise reduction, optimal wavelet basis (OWB)

Abstract:

This paper proposes a statistically optimum adaptive wavelet packet (WP) thresholding function for image denoising based on the generalized Gaussian distribution. It applies computationally efficient multilevel WP decomposition to noisy images to obtain the best tree or optimal wavelet basis, utilizing Shannon entropy. It selects an adaptive threshold value which is level and subband dependent based on analyzing the statistical parameters of subband coefficients. In the utilized thresholding function, which is based on a maximum a posteriori estimate, the modified version of dominant coefficients was estimated by optimal linear interpolation between each coefficient and the mean value of the corresponding subband.