In the field of image processing and computer vision (CV), machine learning (ML)
architectures are widely used. Image compression problems can be solved using …

Unlike classical wired networks and wireless sensor networks, WMSN differs from their
predecessor's scalar network basically in the following points; nature and size of data being …

A great deal of information is produced daily, due to advances in telecommunication, and
the issue of storing it on digital devices or transmitting it over the Internet is challenging. Data …

Image compression gains prominence in picture archiving and communication systems for
storage and transmission of data. The advancements in technology enable the usage of …

Applications, deployed over a wide area network (WAN) which may connect across
metropolitan, regional or national boundaries, suffer performance degradation owing to …

Digital Earth frameworks deal with data sets of different types collected from various sources.
To effectively store, retrieve, and transmit these data sets, efficient multi-scale data …

Data integrity, confidentiality and data loss are the issues that arise during transmission
because of the use of an inadequate security scheme. These issues become particularly …

In the field of medical imaging, there is a strong requirement for the storage of an immense
volume of digitized medical image data. The digital image must be compressed heavily …

Fractional transforms not only enhance the overall signal processing applications but also
improved the efficacy of systems. In this paper, we focus to present several image …

In this paper, a simple fast lossless image compression method is introduced for
compressing medical images, it is based on integrates multiresolution coding along with …