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A New Approach to Fractal Image Compression Using DBSCAN

Jaseela C C and Ajay James
Dept. of Computer Science & Engineering, Govt. Engineering College, Trichur, Thrissur, India
Abstract—Fractal image compression is a popular lossy image compression technique. Fractal encoding, a mathematical process to encode image as a set of mathematical data that describing fractal properties of the image. Fractal image compression works based on the fact that all natural, and most artificial, objects contain similar, repeating patterns called fractals. But problem is the encoding of fractal image compression takes lot of time and it is computationally expensive. A large number of sequential searches are required to find matching of portions of the image. In this paper we introduce a new algorithm to fractal image compression by using density based spatial clustering of applications with noise (DBSCAN). The modification is applied to decrease encoding time by reducing the sequential searches through the whole image to its neighbors. This method compress and decompress the color images quickly.

Index Terms—fractal, DBSCAN, fractal image compression, RGB, clustering, algorithm

Cite: Jaseela C C and Ajay James, "A New Approach to Fractal Image Compression Using DBSCAN," International Journal of Electrical Energy, Vol. 2, No. 1, pp. 18-22, March 2014. doi: 10.12720/ijoee.2.1.18-22
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