In this paper, we demonstrate that many image processing and pattern formation effects of
the simple Cellular Neural Network (CNN) can be understood by means of a common …

Today performance and operational efficiency of computer systems on digital image
processing are exacerbated owing to the increased complexity of image processing. It is …

Smart vision systems will be an inevitable component of future intelligent systems.
Conventional vision systems, based on the system level integration (or even chip level …

Conventional digital computation methods have run into a se rious speed bottleneck due to
their serial nature. To overcome this problem, a new computation model, called Neural …

Since the outstanding and pioneering research work of Hopfield on recurrent neural
networks (RNNs) in the early 80s of the last century, neural networks have rekindled strong …

Encryption of images is different from that of texts due to some intrinsic features of images
such as bulk data capacity and high redundancy, which is generally difficult to handle by …

A novel scaling algorithm is proposed for the implementation of 2-D image scalar. The
algorithm consists of a bilinear interpolation, a clamp filter, and a sharpening spatial filter …

Gabor filters are preprocessing stages in image-processing and computer-vision
applications. One drawback is that they are computationally intensive on a digital computer …

In this paper we present a biorealistic model for the first part of the early vision of processing
by incorporating memristive nanodevices. The architecture of the proposed network is based …

A second-order partial difference equation is considered in this paper. By applying critical
point theory, we not only establish a series of sufficient conditions on the existence of …