DocumentCode
3017835
Title
Compression of sequential images
Author
Kerasha, Mohamed A. ; Greenshields, Ian
Author_Institution
Dept. of Comput. Sci. & Eng., Connecticut Univ., Storrs, CT, USA
fYear
1999
fDate
1999
Firstpage
272
Lastpage
276
Abstract
We consider compressing sequential images (i.e., images with a strong correlation which are not time-dependent, such as proximal MR/CT slices or the image dataset from the visible human project) using neural nets. The basic idea is that compression takes place in the encoding of the outputs of the hidden layer, which is then transmitted to the receiver
Keywords
data compression; encoding; image coding; neural nets; encoding; image dataset; neural nets; proximal MR/CT slices; sequential images compression; strong correlation; visible human project; Chromium; Consumer electronics; Cyclic redundancy check; Discrete Fourier transforms; Genetic communication; Image coding; Image reconstruction; Information theory; Mathematics; Transform coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Based Medical Systems, 1999. Proceedings. 12th IEEE Symposium on
Conference_Location
Stamford, CT
ISSN
1063-7125
Print_ISBN
0-7695-0234-2
Type
conf
DOI
10.1109/CBMS.1999.781288
Filename
781288
Link To Document