Fractal image compression using new mimic spiral architecture

Fractal image compression is a relatively recent image compression method. Its basic idea is to represent images as a fixed point of a contractive Iterated Function System. Spiral Architecture is a novel image structure on which images are displayed as a collection of hexagonal pixels. But till date there are no available image capture or display devices to support this structure. Hence in order to implement the theoretical results, new mimicking spiral architecture is chosen. This mimic spiral architecture almost retains image resolution and does not introduce the distortion. This paper presents the results obtained with spiral architecture in the form of peak signal to noise ratio and compression ratio. It also gives the peak signal to noise ratio plot for each iteration of decoding. The paper furthermore attempts to show the resolution independent decoding feature of Fractal image compression with spiral architecture.