Spatially partitioned lossless image compression in an embedded framework

被引：0

作者：

Creusere, CD ^{[1
]}

机构：

[1] USN, Warfare Ctr, Weapons Div, China Lake, CA 93555 USA

来源：

THIRTY-FIRST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2 | 1998年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we present a new method of lossless image compression which has two additional useful properties: (1) a continuous range of lower resolution images (e.g., lossy images) can be extracted from the representation ard (2) any desired region of the image can be individually extracted with lip to lossless quality. We achieve these additional properties by spatially partitioning a modified version of the Embedded Zerotree Wavelet compression algorithm. Specifically, the proposed approach uses a new form of successive coefficient refinement which reduces its complexity and improves its rate-distortion performance for lossy decompression. We show here that the compression performance of the proposed method is only slightly worse than that of the Said & Pearlman approach which does not offer regional decompression.

引用

页码：1455 / 1459

页数：5