Abstract
This paper presents an efficient compound image compression method based on block and layer–based segmentation techniques. Two hybrid models are proposed for segmenting compound images. The first model combines layer-based and block-based techniques for segmentation and compression of compound images. Several experiments were conducted to evaluate both models in terms of compression ratio, PSNR and time.
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Maheswari, D., Radha, V. (2011). Enhanced Hybrid Compression Models for Compound Images. In: Nagamalai, D., Renault, E., Dhanuskodi, M. (eds) Trends in Computer Science, Engineering and Information Technology. CCSEIT 2011. Communications in Computer and Information Science, vol 204. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24043-0_27
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DOI: https://doi.org/10.1007/978-3-642-24043-0_27
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