How Can Spiral Architecture Improve Image Compression
Xiangjian He, Huaichao Wang, T. Hintz, Qiang Wu · UTS ePRESS (University of Technology Sydney) · 2004
An image file contains a large amount of data.Image compression changes a large image file into a much smaller file.Smaller files require less memory to store, less computer network bandwidth to transfer on the Internet, less time for a computer to process.Image compression becomes important and necessary due to limited computer network bandwidth, computer processor speed and computer storage size.In this paper, we represent an image on our recently created image structure, called Spiral Architecture.We propose algorithms for image compression based on important features of Spiral Architecture: locality and uniformity.Locality is a consequence of a special scheme for numbering image pixels which guarantees physical proximity of the pixels with neighbouring addresses.Uniformity refers to uniformly separating image into similar sub-images.