Abstract
In recent years, many wavelet coders that use various spatially adaptive coding technique to compress the image. Level of flexibility and the coding efficiency are two crucial issues in spatially adaptive methods. So in this paper “spherical coder” is introduced. The objective of this paper is to combine the spherical tree with the wavelet lifting technique and compare the performance of the spherical tree between the different coding technique such as arithmetic, Huffman and run length. The Comparison is made by using PSNR and Compression Ratio (CR). It is shown the Spherical tree in wavelet lifting with the arithmetic coder gives high CR value.
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Panimalar, S., Anisha, R., Gomathi, M. (2011). Image Compression Using Two Dimensional Spherical Coder in Wavelet Lifting. 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_5
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DOI: https://doi.org/10.1007/978-3-642-24043-0_5
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