salienShrink: Saliency-Based Wavelet Shrinkage
Konstantinos Rapantzikos, Yannis Avrithis, Stefanos Kollias · Proceedings - International Conference on Image Processing · 2007
This paper describessalienShrink, a method to denoise images based on computing a map of salient coefficients in the wavelet domain and use it to improve common denoising algorithms. By salient, we refer to those coefficients that correspond mostly to pure signal and should therefore be preserved throughout the denoising procedure. We use a computationally efficient model to detect salient regions in the bands of the multiresolution wavelet transform. These regions are used to obtain a more accurate estimate of the noise level, improving the performance of existing well known shrinkage methods. Extensive experimental results on theBiShrinkmethod show that the proposed method effectively enhances PSNR and improves the visual quality of the denoised images.