An Image Denoising Threshold Estimation Method

Mantosh Biswas

Abstract


In this paper, we propose an image denoising threshold method that exploits the subband dependency of the wavelet coefficients to estimate the signal variance using the local neighboring coefficients. The VisuShrink, SureShrink, and BayesShrink denoising methods are important methods for denoising, but these methods remove too many coefficients, leading to poor image quality. The proposed method retains the modified coefficients significantly that result good visual quality.  The experimental results show that our method outperforms the VisuShrink, SureShrink, and BayesShrink denoising methods.

Keywords


Thresholding; Image Denoising; Peak Signal-to-Noise Ratio (PSNR)

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