In this paper the problem of nonparametric impulsive noise removal in multichannel images is addressed. The proposed filter class is based on the nonparametric estimation of the d...
This paper presents a new adaptive filtering approach capable of detecting and removing impulsive noise in multichannel images. The proposed methodology constitutes a powerful uni...
Rastislav Lukac, Bogdan Smolka, Konstantinos N. Pl...
A computationally efficient algorithm is proposed to remove noise impulses from speech and audio signals while retaining its features and tonal quality. The proposed method is bas...
An algorithm to suppress Gaussian noise is presented, based on clustering (grouping) gray levels. The histogram of a window sliding across the image is divided into clusters, and t...
Abstract. We propose a variational approach for deblurring and impulsive noise removal in multi-channel images. A robust data fidelity measure and edge preserving regularization a...
Leah Bar, Alexander Brook, Nir A. Sochen, Nahum Ki...