Title :
Compressing images with wavelet/subband coding
Author :
Manduca, Armando
Author_Institution :
Dept. of Physiol. & Biophys., Mayo Clinic, Rochester, MN, USA
Abstract :
We have developed software modules (both stand-alone and in the biomedical image analysis and display package ANALYZE) that perform wavelet-based compression on both 2-D and 3-D gray scale images. We present examples of such compression on a variety of medical images, and comparisons with JPEG and other compression schemes. We also show examples of the improvements gained by true 3-D compression of a 3-D image (as opposed to 2-D compression of each slice), and discuss issues such as the treatment of edge effects and human visual system response in the context of a wavelet-based approach. Finally, we discuss extensions of the current approach to still more efficient compression schemes
Keywords :
data compression; image coding; medical image processing; wavelet transforms; 2-D gray scale images; 3-D gray scale images; ANALYZE; biomedical image analysis; display package; edge effects; human visual system response; image compression; software modules; subband coding; true 3-D compression; wavelet-based compression; Biomedical imaging; Displays; Image analysis; Image coding; Packaging; Performance analysis; Software packages; Software performance; Transform coding; Wavelet analysis;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE