期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：65
期号：3
出版社：Journal of Theoretical and Applied
摘要：Image compression has become an important issue in the storage and the transmission of images including satellite and aerial photographs. A new approach was used for compressing satellite images is to construct compression algorithms by using the fractal theory. This paper is based on a novel image structure, Spiral Architecture, which has hexagonal instead of square pixels as the basic element. In the proposed work, we use only two codebooks for all images. Open and private code book is generated for the remote sensing image gallery, instead of using separate codebook for each during the process; hence high compression ratio can be achieved. Introducing Spiral Architecture into fractal image compression for remote sensing images will improve the compression performance in compression ratio, reduction of memory and bandwidth cost of large-scale remote sensing images.
