Medical image compression presents the best solution as hospitals move towards filmless
imaging and go completely digital. Due to the large size of images; image compression is …

This paper presents a novel method utilizing wavelets with particle swarm optimization
(PSO) for medical image compression. Our method utilizes PSO to overcome the wavelets …

In this paper, a memory efficient, fully integer to integer with parallel architecture for 2-D
Haar wavelet transform with lifting scheme has been proposed. The main problem in most 2 …

Facial recognition systems are critical components in numerous applications. They are used,
for example, to prevent retail crime, unlock phones, find missing persons, protect law …

Self-driving cars are the future of the transportation sector, with the safety of passengers and
their surroundings of paramount concern. As the technology for these cars advances, the …

Wireless sensor networks (WSNs) require a revolutionary lossy compression picture
compression approach known as Adaptive Haar wavelet transform theory due to the limited …

This paper mainly discusses about digital image (MRI image) compression using different
parameters. A database of image contains huge number of images and therefor file size may …

Wavelets are mathematical functions which are used as a basis for writing down other
complex functions in an easy way. These cut up data into its frequency components and so …

This research developed models and techniques to improve the three key modules of
popular recognition systems: preprocessing, feature extraction, and classification …

Background: Image compression is an area of research that has many applications
spanning different technological fields; among the most important of these fields is that of …