Share Email Print

Proceedings Paper

Wavelet/spatial-segmentation-based video compression for transmission along low-bandwidth channels
Author(s): Piotr Wasilewski
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The paper presents a low bit-rate video compression algorithm for digital monochrome image sequence transmission. Presented method is based on wavelet transform and an original image segmentation algorithm for intra- and inter-frames. The proposed algorithm divides an image into rectangular blocks, which may overlap. The width and height of these blocks are set independently and can have optical values from a present range. Blocks are filled with a mean value of pixels form original image and their seizes are increased until the mean square error value for the block is smaller than the preset value. The algorithm is strongly parameterized, so it can be used for compressing the subimages created by the discrete wavelet transform. In 2D wavelet transform, an image is interpreted as a sum of details that appear at different resolution. As the result each subimage produced by WT can be compressed and transmitted separately to decrease the sensitivity to errors that may occur in the channel. The paper also presented the results obtained during off-line image compression. These results show better quality of restored images in compare to H.261 and H.263 algorithms. The presented algorithm achieves good restored image quality with high compression ratio and ability of simple hardware implementation.

Paper Details

Date Published: 6 November 1998
PDF: 8 pages
Proc. SPIE 3456, Mathematics of Data/Image Coding, Compression, and Encryption, (6 November 1998); doi: 10.1117/12.330373
Show Author Affiliations
Piotr Wasilewski, Technical Univ. of Lodz (Poland)

Published in SPIE Proceedings Vol. 3456:
Mathematics of Data/Image Coding, Compression, and Encryption
Mark S. Schmalz, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?