Translator Disclaimer
27 April 1995 Medical image compression using wavelet transforms and variable block size coding
Author Affiliations +
In recent years, the medical community has seen a growing need for the development of rapid and efficient techniques for the storage and transmission of medical images. Although several well known compression techniques exist, many of them require computationally intensive algorithms. In addition, many image compression techniques introduce unwanted attributes such as the blocking effect or noise. This is a major problem in medical imaging where image degradation may be critical. The aim of our research was to combine two recent techniques, wavelet transforms (WT) and variable block size coding (VBSC), to improve compression ratios as well as visual quality. Multiresolution wavelet transforms are capable of extracting salient features from the image, and thus, allow the decision on the size of block coding. In addition, this hybrid technique reduces noise in the reconstructed images. The image quality is judged by criteria such as entropy, mean square error, signal to noise ratio, and human visual perception. The performance of the hybrid technique is based on the above criteria and compared with the performance of the standard JPEG compression technique. This hybrid compression technique yields improved compression while retaining high visual quality for specific medical images such as cervical radiographs.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard Andrew Muyshondt and Sunanda Mitra "Medical image compression using wavelet transforms and variable block size coding", Proc. SPIE 2431, Medical Imaging 1995: Image Display, (27 April 1995);


Low bit rate near-transparent image coding
Proceedings of SPIE (April 06 1995)
Image representation and compression using directionlets
Proceedings of SPIE (September 20 2007)
New hybrid zerotree/DPCM image coder
Proceedings of SPIE (September 25 1998)

Back to Top