Image analysis took wide areas in many fields, including medicine, physics, and other areas
where you need a tool to deal with it smoothly and softly without losing the original image …

Image compression is a vital component for domains in which the computational resources
are usually scarce such as automotive or telemedicine fields. Also, when discussing real …

Of late, image compression has become crucial due to the rising need for faster encoding
and decoding. To achieve this objective, the present study proposes the use of canonical …

In response to the COVID-19 pandemic and its strain on healthcare resources, this study
presents a comprehensive review of various techniques that can be used to integrate image …

Compression schemes have been extensively used in Federated Learning (FL) to reduce
the communication cost of distributed learning. While most approaches rely on a bounded …

The explosive growth of digital imaging, especially in the fields of medicine, education, and
e-commerce, has made data maintenance and transmission over networks a daunting task …

Medical images are treated as sensitive as it carries patients' confidential information and
hence must be protected from unauthorized access. So, a strong encryption mechanism is a …

Medical imaging is an active and developing field that has an impact on recognition,
diagnosis and surgical planning of the disease. The image compression is introduced in the …

A tremendous amount of image and video data are being generated and shared in our daily
lives. Image and video data are typically stored and transmitted in compressed form in order …

Currently, medical images represent basis of clinical diagnosis and source of telehealth and
teleconsultation processes. Exchange of these images can be subject to several challenges …