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Three-Level Hierarchical Classification Scheme: Its Application to Fractal Image Compression Technique

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Intelligent Data Engineering and Analytics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1177))

Abstract

Fractal-based image compression techniques are well known for its fast decoding process and resolution-independent decoded images. However, these types of techniques take more time to encode images. Domain classification strategy can greatly reduce encoding period. This paper proposed a new strategy of domain classification that groups domains in three-level hierarchical classes to speed up domain searching procedure. Then, the technique is further modified by sorting domains of each class based on frequency of matching. The results show that both the presented schemes significantly decrease the encoding duration of fractal coding and there are no effects on compression ratio and image quality.

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Acknowledgements

This work is carried out by using infrastructure of the Dept. of Computer Sc., Vidyasagar University, Paschim Medinipur, West Bengal, India.

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Correspondence to Utpal Nandi .

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Nandi, U., Laya, B., Ghorai, A., Singh, M.M. (2021). Three-Level Hierarchical Classification Scheme: Its Application to Fractal Image Compression Technique. In: Satapathy, S., Zhang, YD., Bhateja, V., Majhi, R. (eds) Intelligent Data Engineering and Analytics. Advances in Intelligent Systems and Computing, vol 1177. Springer, Singapore. https://doi.org/10.1007/978-981-15-5679-1_12

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