The advancement of small electrical components into the nanoscale range opens up
opportunities for massively parallel computing systems. Quantum-dot Cellular Automata …

The objective of this article is to introduce an architecture that performs image
steganography. The architecture is built on quantum dot cellular automata (QCA) …

Mask of an image is generated in this article using Quantum Dot Cellular Automata. An
encoder circuit is drafted to produce the Mask Image. This encoder can function as a …

The morphology algorithms are an exciting field that provides a powerful and unified method
applied to image and video processing applications. Also, they have many advantages to …

Palm vein pattern recognition is one of the most promising and rapidly develo** fields of
study in biometrics, which makes it an important solution for identity security in biometrics …

Managing electronic components efficiently in a laboratory environment poses tedious
problem, and the same can hinder research efficiency and productivity. These challenges …

Digital image processing is manipulating and analyzing digital images using computer
algorithms to enhance or extract information. Designing a median filter based on QCA offers …

Among different nanotechnological developments, quantum dot cellular automaton is an up-
and-coming realm. A nanoscale logical circuit can be obtained easily through QCA device …

为了进一步增**去噪时对图像细节的保护能力, 并同时提高算法实时性, 提出了基于双量子比特
态测量的量子自适应中值滤波算法, 该算法首先将待处理图像像素转化为量子叠加态 …

This chapter presents the implementation of Quantum-dot Cellular Automata (QCA)
technology for image processing mathematical morphology operations. The basic concepts …