3D Medical image compression using the quincunx wavelet coupled with SPIHT

Abstract

<p>Medical imaging is a growing field due to the development of digital technologies that produce 3D and even 4D data. The counterpart to the resolution offered by these voluminal images resides in the amount of gigantic data, hence the need for compression. This article presents a new coding scheme dedicated to 3D medical images. The originality of our approach lies in the application of the Quinqunx wavelet transform coupled with the SPIHT encoder on a database of medical images. This approach achieves much higher compression rates, while maintaining a very acceptable visual quality.</p>

Transmission performance in compressed medical images using turbo code

“…Medical images play a vital role in helping health care suppliers reach patients for diagnosis and remediation. Recently, the use of medical imaging for the detection by chest X-ray of COVID-19 viruses in the lungs [5]. The survey of medical images depends fundamentally on the visual interpretation of radiologists.…”

Compression of Medical images using SPIHT Algorithm for Telemedicine Application

“…The embedded zero tree wavelet algorithm was put forward in [10] for the compression of medical images and the results were found to be efficient when compared with the JPEG algorithm. A distinction of wavelet transforms, Quincunx wavelet coupled with SPIHT for the compression of the 3D data set, the results were robust, when compared with the classical approaches [11]. The compressed CT images of the chest by JPEG algorithm were utilized in the classification of COVID-19 using deep learning algorithm [12].…”