Quantum image processing (QIMP) is devoted to utilizing the quantum computing
technologies to capture, manipulate, and recover quantum images in different formats and …

As an interdisciplinary between quantum computing and image processing, quantum image
processing provides more possibilities for image processing due to the powerful parallel …

Sparse representation of real-life images is a very effective approach in imaging
applications, such as denoising. In recent years, with the growth of computing power, data …

This paper presents a deep neural network called DIVA unfolding a baseline adaptive
denoising algorithm (DeQuIP), relying on the theory of quantum many-body physics …

Enlightened by quantum computing theory, a quantum K-Nearest-Neighbor image
classification algorithm with the KL transform is proposed. Firstly, the image features are …

Medical optical imaging, with the aid of the “terahertz tomography”, is a novel medical
imaging technique based on the electromagnetic waves. Such advanced imaging …

Decomposition of digital signals and images into other basis or dictionaries than time or
space domains is a very common approach in signal and image processing and analysis …

In this paper, we propose a blueprint of a new deep network unfolding a baseline quantum
mechanics-based adaptive denoising scheme (De-QuIP). Relying on the theory of quantum …

A new Plug-and-Play (PnP) alternating direction of multipliers (ADMM) scheme is proposed
in this paper, by embedding a recently introduced adaptive denoiser using the Schroedinger …

We propose a novel hybrid classical-quantum approach for image processing based on
polar Walsh basis functions. Using this approach, we present an algorithm for the removal of …