LOCALLY OPTIMAL RUN-LENGTH COMPRESSION APPLIED TO CT IMAGES.

被引：0

作者：

Rhodes, Michael L. ^{[1
]}

Quinn, John F. ^{[1
]}

Silvester, John ^{[1
]}

机构：

[1] MPDI Medical Sciences Cent,, Torrance, CA, USA, MPDI Medical Sciences Cent, Torrance, CA, USA

来源：

IEEE Transactions on Medical Imaging | 1985年 / MI-4卷 / 02期

关键词：

CODES; SYMBOLIC - Encoding - IMAGE PROCESSING - Reconstruction - INFORMATION THEORY - Data Compression - OPTIMIZATION - Applications;

D O I：

10.1109/tmi.1985.4307701

中图分类号：

学科分类号：

摘要：

Run-length data compression techniques are described that preserve image content. After decompression, images are restored to their original state without loss in image gray scale or resolution. The first technique introduces terminology and illustrates a simple method for efficient picture archiving. It demonstrates the principle of run-length techniques. A second, more general approach encodes picture information in a manner that adapts to local variation in pixel standard deviation. Among several options of compression formats, the one that delivers the best local compression is selected. Results of the compression techniques are given for several hundred computed tomography (CT) pictures with comparison to image entropy measures. A general solution to the optimal run-length compression of digital data is outlined. Routine application of the locally optimal method is also described.

引用

页码：84 / 90