TY - GEN
T1 - Medical image compression using wavelet transforms and variable block size coding
AU - Muyshondt, Richard A.
AU - Mitra, Sunanda
PY - 1995
Y1 - 1995
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0029454554&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0029454554
SN - 0819417793
SN - 9780819417794
T3 - Proceedings of SPIE - The International Society for Optical Engineering
SP - 593
EP - 604
BT - Proceedings of SPIE - The International Society for Optical Engineering
A2 - Kim, Yongmin
T2 - Medical Imaging 1995: Image Display
Y2 - 26 February 1995 through 28 February 1995
ER -