Title :
Image segmentation for compression of images and image sequences
Author :
Sanderson, H. ; Crebbin, G.
Author_Institution :
Centre for Intelligent Inf. Process. Syst., Western Australia Univ., Nedlands, WA, Australia
fDate :
2/1/1995 12:00:00 AM
Abstract :
Region-based image coding schemes, the so-called second generation techniques, have gained much favour in recent years. For still picture coding, they can increase the compression ratio obtained by transform coding by an order of magnitude, while maintaining adequate image representation. The success of these techniques relies on the ability to describe regions in an image succinctly by their shape and size. The algorithms presented describe methods for segmenting images. Unlike most other region based algorithms, these algorithms incorporate knowledge of the border coding process in deciding how to partition the image. The extension from single image compression to sequential image compression is also considered. A new, efficient segmentation scheme is proposed that exploits temporal redundancies between successive images, and reduces some problems associated with error accumulation in error images
Keywords :
data compression; image coding; image representation; image segmentation; transform coding; border coding process; compression ratio; error accumulation reduction; error images; image compression; image representation; image segmentation; image sequences; image shape; image size; region based algorithms; region-based image coding; sequential image compression; still picture coding; temporal redundancies; transform coding; video images;
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
DOI :
10.1049/ip-vis:19951681