While complex-valued transforms have been widely used in image processing and have
their deep connections to biological vision systems, complex-valued convolutional neural …

Although there has been a lot of progress in the general area of signal denoising, noise
removal remains a very challenging problem in real-world communication systems …

In this paper, a new denoising method is proposed for hyperspectral data cubes that already
have a reasonably good signal-to-noise ratio (SNR)(such as 600: 1). Given this level of the …

The limitations of underwater acoustic communications mean that the side-scan sonar data
of an autonomous underwater vehicle (AUV) cannot be transmitted back and processed in …

In this paper, a new thresholding function is proposed for image denoising in the wavelet
domain. The proposed function is further used in a new subband-adaptive thresholding …

The denoising of Gaussian additive white noise is a classical problem in signal and image
processing. In this paper, we classify the most important wavelet denoising methods into …

This article investigates and compiles some of the techniques mostly used in the smoothing
or suppression of speckle noise in ultrasound images. With this information, a comparison of …

This paper proposes a statistically optimum adaptive wavelet packet (WP) thresholding
function for image denoising based on the generalized Gaussian distribution. It applies …

In this paper, we propose a novel image denoising method by incorporating the dual-tree
complex wavelets into the ordinary ridgelet transform. The approximate shift invariant …

Feature-preserved denoising is of great interest in medical image processing. This article
presents a wavelet-based bilateral filtering scheme for noise reduction in magnetic …