Gauss Noise Image Recovering Method Based on Directional Wavelet Transform

Kun Tan · Journal of Jilin University(Science Edition) · 2010

A correlation and threshold denoising method based on the directional wavelet transform was proposed in order to restore the images which were contaminated by the Gaussian noises. The directional wavelet breakthroughs the restriction of the standard 2D wavelet transforms only along horizontal and vertical directions,can transform along any directions. Not only does it weaken the Gibbs effect,but it can protect image edges. The experiment results show our method has better performances than the denoising method based on the standard wavelet in both PSNR and visual effects.

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