Region level based methods are popular in recent years for multifocus image fusion as they
are the most direct fusion ways. However, the fusion result is not ideal due to the difficulty in …

The purpose of this article is to review what has been written on what other authors have
called quaternion wavelet transforms (QWTs): there is no consensus about what these …

In this paper, a new approach to impulse noise removal in color images is presented. The
proposed solution is a quaternion switching vector filter in which the impulse detection …

In this paper, we propose an image denoising algorithm based on the quaternion wavelet
transform (QWT) to address sinusoidal fringe images under strong noise in structured light …

For local smooth regions in multifocus images, it is difficult to judge whether they are in focus
or not, whether using human eyes or special focus measures. We propose to classify the …

We present two novel and simple image sharpness metrics based on the quaternion wavelet
transform. The result of quaternion wavelet decomposition can be transformed into the form …

Similarly to how complex numbers provide a possible framework for extending scalar signal
processing techniques to 2-channel signals, the 4-dimensional hypercomplex algebra of …

Recently patch-based image denoising techniques have gained the attention of researchers
as it is being used in numerous image denoising applications. This article is proposing a …

Wavelet thresholding is an important branch of the image denoising field. A key parameter in
the algorithms is noise level. As a novel tool of image analysis, quaternion wavelet owns …

In this paper, we make use of Gaussian mixture model (GMM) to describe the coefficients
distribution of the quaternion wavelet transform (QWT). Derived from the parameters in …