This paper discusses the decomposition of the image by direction images, which is based
on the concept of the tensor representation and its advanced form, the paired …

The purpose of this article is to describe effective methods in image enhancement and their
application in processing gray scale as well as color images. Methods of image processing …

We discuss the concept of the direction image multiresolution, which is derived as a property
of the 2-D discrete Fourier transform, when it splits by 1-D transforms. The N× N image …

This paper presents a new method of histogram equalization for grayscale images, which is
called the gradient based histogram equalization. The histogram equalization is performed …

In this paper, a general, efficient, split algorithm to compute the two-dimensional quaternion
discrete Fourier transform (2-D QDFT), by using the special partitioning in the frequency …

Two-dimension discrete Fourier transform (2-D DFT) is a fundamental tool in grays-scale
image processing. In color imaging, this transform is used to process separately color …

In communication technologies such as digital watermarking, wireless sensor networks
(WSNs), and visual light communication (VLC), error-correcting codes are crucial. The …

Continual learning is a desirable feature in many modern machine learning applications,
which allows in-field adaptation and updating, ranging from accommodating distribution …

The performance of real-world CV systems used in outdoor surveillance and autonomous
vehicles severely suffers from adverse weather conditions. Removing mist, rain streaks …

This paper proposes a new color image representation and multiple feature fusion based
method for improving color face recognition performance under different lighting conditions …