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Efficient Fractal Image Compression Using Parallel Architecture

Vikas Dilliwar*, G. R. Sinha**, Shrish Verma***

* Assistant Professor, Department of Information Technology, Chhattisgarh Institute of Technology, Rajnandgaon, India.

** Professor (ETC) & Associate Director, Faculty of Engineering and Technology. Shri Shankaracharya Group of Institutions, Bhilai, India.

*** Professor and Head, Department of Electronics and Telecommunication Engineering, National Institute of Technology, Raipur, India.

Periodicity:May - July'2013
DOI : https://doi.org/10.26634/jcs.2.3.2332

Abstract

Digital representations of images usually require a very large number of bits. It is important to consider techniques for representing an image with fewer bits. In this context, we present a survey of Fractal image compression with parallel encoding scheme. The Fractal image compression (FIC) is a novel technique in the field of image compression that utilizes the existence of self symmetry of the image. The unique feature of the fractal image compression technique is its very good compression ratio, high decompression speed, high bit-rate and resolution independence. However, this technique of image compression requires large encoding time. We propose a parallel computing architecture to reduce the computational cost that is associated with encoding phase. We have discussed fractal image compression, Iterative function system and different encoding schemes along with their reviews. We have also suggested the concept of parallelization to be applied in compression methods for efficient implementation.

Keywords

Fractal Image Compression, Iterative Function System, Java Parallel Processing Frame Work etc.

How to Cite this Article?

Dilliwar, V., Sinha, R. and Verma, S. (2013). Efficient Fractal Image Compression Using Parallel Architecture. i-manager’s Journal on Communication Engineering and Systems, 2(3), 13-22. https://doi.org/10.26634/jcs.2.3.2332

References

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Efficient Fractal Image Compression Using Parallel Architecture

Abstract

Keywords

How to Cite this Article?

References

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