Advanced therapeutic imaging innovation produces an immense amount of information,
predominantly from processed tomography and other imaging modalities. This causes a …

Decentralized learning (DL) systems have been gaining popularity because they avoid raw
data sharing by communicating only model parameters, hence preserving data …

The rapid developments observed in the field of Internet of Things (IoT), along with the
recently increasing dependence on this technology in home and financial applications, have …

One of a person's most crucial biometric traits is their face. Face recognition is a crucial first
step for applications in many fields, such as biometrics, user interfaces for computers, and …

Compression is an important aspect of image processing with respect to transmission and
storage. It is an established field of research with very little scope for improvement through …

We investigate a decision-tree-based interpolator as part of multidimensional signal
compression methods. This interpolator selects the interpolating function at each signal …

Compression is a method of reducing data size by deleting redundancy of data and
significant correlations between nearby pixels of images. Although the results of lossy …

Compression of multimedia content is an important processing step and backbone of real
life applications in terms of optimum resource utilization in transmission and storage. It is an …

Aim: The aim of this study was to compare Discrete cosine transform and Shearlet transform
for mammographic image compression and determine better transform among them …

The rising use of digital imaging applications has recently boosted the demand for different
image compressing algorithms. Picture compression is used to reduce unnecessary …