Applications of Wavelet Transform in Registration, Segmentation, Denoising, and Compression of Medical Images - Proceedings of All India Seminar on Biomedical Engineering 2012 (AISOBE-2012) - page 115

Fig. 3 a A brain PET image from a 3D data set with high level of noise, b-f modulus of wavelet
coefficients at expansion scale 1-5
Wavelet Image Compression
Existing Systems
• Keynotes on JPEG2000
The JPEG2000 standard provides a set of features that are of importance to many
high-end and emerging applications by taking advantage of new technologies.
It addresses areas where current standards fail to produce the best quality or per-
formance and provides capabilities to markets that currently do not use compression.
The markets and applications better served by the JPEG2000 standard are internet,
color facsimile, printing, scanning, digital photography, remote sensing, mobile, and
medical image. Each application area imposes some requirements that the standard
should fulfill. Some of the most important features that this standard should possess
are as follows [ 2 ]:
- Improved compression efficiency
- Lossy to lossless compression
- Multiple resolution representation
- Region of interest (ROI) coding
- Random code-stream access and processing
- Keynotes on CSPIHT