In the high-tech world, medical imaging is very important to diagnose and analyze illness
inside human body. The increasing number of patients annually has continuously growth the …

In this paper a novel image compression technique using features of wavelet and curvelet
transforms is proposed to improve efficiency and compression performance. Indeed, the …

Background: Rural clinics still have X-ray facilities that produce physical films, which are
sent to the nearest hospital for evaluation. Purchasing digitalization facilities is costly, thus …

At present, the amount of information on power grid operation and maintenance monitoring
image data is increasing, and the requirements for data compression are higher and higher …

Compressive sensing is one of teh cost effective solution towards performing compression of
heavier form of signals. We reviewed the existing research contribution towards …

A color image compression is the most challenging task in the field of multimedia. During
last decades several techniques are developed for improving the quality, coding time and …

Haar transform, the simplest wavelet transformation, converts the data into wavelet
coefficients. The output of the transformation generates larger numbers of Zeros. It acts as a …

The main aim of this study is to decrease the amount of storage as much as possible and the
decoded image seen on the monitor should be as close as possible to the original image …

Image compression processes moderate the number of bits essential to signify an image,
which can improve the performance of systems during storage and transmission without …

The SPIHT is a powerful image compression algorithm. It has reasonable complexity and
produces a quality (or rate) scalable bit-stream. Unfortunately, SPIHT fails to explore the …