Lossless compression based on inter-frame coding for MDCT.
Many images are generated by medical equipment and the number of images to be stored increases yearly. To cope with the large digital storage and transmission requirements, data compression techniques have been studied. In the present study, grayscale data (2 bytes/pixel) were divided into high bytes and low bytes, and then the original medical images were also divided into high byte (1byte/pixel format) and low byte (1byte/pixel format) images. Inter-frame coding with and without division into high and low byte images was applied to MDCT images. Prediction (inter-frame) coding is a very common method to compress sequence images. The division process can be added to inter-frame coding easily. The compression ratio of the archived file produced by application of Lemple-Ziv compression and prediction coding with the division process was 0.39 at 700 images.
Graduate School of Health Sciences, Kanazawa University, 5-11-80, Kodatsuno, Kanazawa-shi, Ishikawa-pref, 920-0942, Japan. knaka@kenroku.kanazawa-u.ac.jp.
Kazuya
K
Nakayama
Yoshito
Y
Ichiba
Kazuhiko
K
Kojima
Masayuki
M
Suzuki
D000465:Algorithms; D044962:Data Compression; D007091:Image Processing, Computer-Assisted; D014057:Tomography, X-Ray Computed