Title :
Compression of sequential images
Author :
Kerasha, Mohamed A. ; Greenshields, Ian
Author_Institution :
Dept. of Comput. Sci. & Eng., Connecticut Univ., Storrs, CT, USA
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;
Conference_Titel :
Computer-Based Medical Systems, 1999. Proceedings. 12th IEEE Symposium on
Conference_Location :
Stamford, CT
Print_ISBN :
0-7695-0234-2
DOI :
10.1109/CBMS.1999.781288
