Title :
Lossless interframe compression of medical images
Author :
Wu, Xiaolin ; Fang, Yonggang
Author_Institution :
Dept. of Comput. Sci., Univ. of Western Ontario, London, Ont., Canada
Abstract :
A sequence of medical images is converted to a 4-dimensional volume of bits using gray code. Then an interframe sequential and intraframe interlacing prediction scheme is used for reversible image sequence compression. Higher compression ratios than the current intraframe compression methods are achieved due to interframe decorrelation.<>
Keywords :
data compression; filtering and prediction theory; image coding; image sequences; medical image processing; 4-dimensional volume; compression ratios; gray code; image coding; image sequence; interframe decorrelation; interframe sequential prediction; intraframe interlacing prediction; lossless interframe compression; medical images; Biomedical imaging; Computer science; Decorrelation; Image coding; Image converters; Image sequences; Image storage; Interpolation; Polynomials; Reflective binary codes;
Conference_Titel :
Data Compression Conference, 1992. DCC '92.
Conference_Location :
Snowbird, UT, USA
Print_ISBN :
0-8186-2717-4
DOI :
10.1109/DCC.1992.227456