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 …

Lossless data reduction is essential for data transmission over the Internet and the storage
of data in a digital device when data loss is not permitted. The application of image …

Modern daily life activities result in a huge amount of data, which creates a big challenge for
storing and communicating them. As an example, hospitals produce a huge amount of data …

The development of multimedia and digital imaging has led to high quantity of data required
to represent modern imagery. This requires large disk space for storage, and long time for …

Images are now employed as data in a variety of applications, including medical imaging,
remote sensing, pattern recognition, and video processing. Image compression is the …

This article presents a parameter combination-based method selection (PCBMS) approach
to select an optimal lossless data compression technique and provides an analysis based …

In this paper we are describing some important state-of the-art algorithms used for lossless
compression of images. These algorithms are broadly classified as prediction based …

Digital image compression technology has emerged from the need for fast communication
and‗ live 'processing of digital image information over the internet. Time has been passed …

In modern communicative and networked computing, sharing and storing image data
efficiently have been a great challenge. People all over the world are sharing, transmitting …

Memory is a vital resource which should be used efficiently. Compression helps us achieve
this goal. Image compression techniques are mainly used to decrease the memory size …